Category: FindAI Jobs

JOB DESCRIPTION:

NORC at the University of Chicago is seeking Research Methodologist to join the Methodology and Quantitative Social Sciences department. We are looking for applied economists or quantitative social scientists with strong analytic and quantitative skills, a passion for cross-disciplinary collaboration, and subject matter knowledge in one of NORC’s substantive focus areas. The Research Methodologist will support the design of rigorous methods for evaluating programs and policies; conduct econometric, cost-benefit, and other economic analyses; draft reports and present findings to policy and professional audiences. The successful candidate will have good analytic, communication, and management skills and contribute effectively across a variety of projects.

While our main office locations are in Chicago, IL and Bethesda, MD we will consider fully remote for qualified candidates who are not in the Chicago or Bethesda market.

 

DEPARTMENT: Methodology and Quantitative Social Sciences

The Methodology and Quantitative Social Sciences (MQSS) is one of NORC’s core methodology departments that brings innovative and rigorous quantitative methods that advance NORC’s evaluations of programs, policies, and initiatives, and advances the creation of data sources trusted by decisionmakers, researchers, and the public. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization and use of novel data sources and technologies to improve data gathering. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter areas (economics, markets and the workforce; education training and learning; global development; health and well-being; society, media, and public affairs), in addition to leading its own projects.

 

RESPONSIBILITIES:

• Providing technical advice and serving as an internal consultant on social science methodological and analytic issues to Project Directors and Task Leaders
• Conduct quantitative analyses for projects, including writing and/or implementing programs to extract and manipulate data, conducting analysis and/or developing and testing analytic models
• Assist or lead methodological and analytic tasks relevant to the project, including economic evaluations and policy/program analysis.
• Contributing to and reviewing the methodological/analytical sections of reports, presentations and other deliverables.
• Assisting with proposal and business development activities related to methodological, analytic, and/or study design tasks.
• Designing, conducting, analyzing and preparing reports on experimental/methodological studies
• Presenting research papers at professional conferences and submitting articles for publication in journals.

 

REQUIRED SKILLS:

• Master’s degree in economics preferred. Master’s degree in economics, biostatistics, sociology, psychology, political science or other social science, survey methodology, data science, or related field is required.
• At least 3 years of relevant experience, including applied economics, social science research and policy issues.
• Knowledge of the principles, processes, and methods of social science research and application for quantitative analyses, survey research and/or program evaluation 
• Experience designing studies and conducting research using a variety of econometric methods and techniques to evaluate and identify effects of policies and programs.
• Proficient in the use of computer software, especially packages for statistical analysis (SAS, R, or Python) and knowledge of computing platforms and data file construction
• Enthusiasm for teamwork and collaboration across disciplinary boundaries
• Strong interpersonal communication, analytic capability, technical writing, problem identification and resolution, and task management
• Ability to work on multiple projects simultaneously, effectively organize and manage time, including ability to set priorities to meet all project, proposal, and administrative needs in a timely fashion 
• Subject matter knowledge in one of NORC’s substantive focus areas is a plus.

 

SALARY AND BENEFITS

The pay range for this position is $108,000 – $172,000. 

This position is classified as regular. Regular staff are eligible for NORC’s comprehensive benefits program. Benefits include, but are not limited to:    

• Dental and vision insurance  

• A defined contribution retirement program, along with a separate voluntary 403(b) retirement program  

• Group life insurance, long-term and short-term disability insurance  

• Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, tuition assistance, and an Employee Assistance Program (EAP).    

NORC’s Approach to Equity and Transparency  

Pay and benefits transparency helps to reduce wage gaps. As part of our commitment to pay equity and salary transparency, NORC includes a salary range for each job opening along with information about eligible benefit offerings. At NORC, we take a comprehensive approach to setting salary ranges and reviewing raises and promotions, which is overseen by a formal Salary Review Committee (SRC).

 

WHAT WE DO:

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.

 

WHO WE ARE:

For over 75 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we’re known and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.

 

EEO STATEMENT: 

NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics.

 

 

The Advanced SATCOM Systems and Operations Group is developing technologies for the most advanced communication satellites, and SATCOM systems in the world.  The Group is involved in a synergistic combination of research, prototyping, and experimentation efforts focused on the goals of enhancing the capacity, robustness to interference, and the flexibility of future generations of communications satellites and systems.

 

Current research areas draw from advanced concepts in Information Theory, Communication Theory, Network Theory, Array Processing, Estimation and Detection, Machine Learning, Antennas and Arrays, Dynammic Resource Allocation, and Optimization.  Promising research results are verified in hardware and software prototypes that provide quantitative performance data in relevant environments. Exceptional candidates seeking to become experts in these fields and advance the state of technology are encouraged to apply.

 

Selected candidates will actively participate in the design, analysis, implementation, and demonstration of novel communications waveforms, signal processing algorithms, resource allocation schemes, SATCOM system architectures, antennas and arrays, media access protocols, and networking protocols. The individual will typically work in multi-disciplinary teams in which team members possess expertise in communications theory, networking, information assurance, systems engineering, antennas and arrays, digital hardware, and software defined radio. The individual will have opportunities to work with the government, academia, and industry as well as make contributions towards DoD policy, requirements, acquisition, systems engineering, and operations.

 

Required Experience:

• Ph.D. in Electrical Engineering (or related field) with a strong background in wireless communications and signal processing. In lieu of a Ph.D., an M.S. with 3+ years of directly relevant experience is acceptable. 
• Experience and/or coursework in wireless communications theory, information theory, digital signal processing, estimation and detection, optimization, radio frequency propagation modeling, linear algebra.
• Proficiency with MATLAB, Python, C/C++ or other equivalent modeling and simulation tools.
• Highly effective written and verbal communication skills.
• Demonstrated ability to work effectively in multi-disciplinary teams.

 

Desired Experience:

• Machine learning, adaptive filtering, array processing, media access control protocols, networking
• Fixed point algorithm design and implementation targeting embedded processors such as FPGA, GPU, DSP
• Antennas, arrays, and radio frequency circuits
• Software Defined Radio
• Software Defined Networking
• Demonstrated ability to plan and manage tasks and projects

 

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

• Comprehensive health, dental, and vision plans
• MIT-funded pension
• Matching 401K
• Paid leave (including vacation, sick, parental, military, etc.)
• Tuition reimbursement and continuing education programs
• Mentorship programs
• A range of work-life balance options
• … and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts, and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret-level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

 

 

Requisition ID: 41319  

Overview

In this position, you will use your front-end web development experiences to develop new features in contributing to the enhancement of ArcGIS Velocity, ArcGIS GeoEvent Server and other next-generation real-time and big data enterprise and cloud offerings. Additionally, you will utilize your experiences and development skills in JavaScript, Java, and Scala, to provide creative, logical, and practical solutions that yield innovative software product capabilities.

This team supports some of Esri’s Professional Service’s real-time products, including ArcGIS Velocity and ArcGIS GeoEvent Server. As a software engineer, you will design and develop software used by organizations across diverse markets and industries. You will be part of a talented cross-functional team of dynamic and passionate engineers who deliver capabilities that enable our customers to make a difference in communities around the world. In this role, you will design and develop the software used by a large community of GIS professionals to power the operations of their organizations.

The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope and ultimately deliver transformational solutions to high profile clients worldwide. The Professional Services organization is comprised of nearly 1,000 talented business and technical professionals who strive every day to help our users be successful.

Responsibilities

• Work with a team of dedicated Software Engineers, Product Engineers, and Site Reliability Engineers to design, build, and maintain the most desired capabilities and enhancements
• Build Java and Scala components and web services to power user experience and geospatial workflows
• Use Java, Scala, JavaScript, Typescript, React and Dojo to develop applications that follow industry-standard design patterns, development methodologies, and deployment models
• Develop software used by people who are not software developers. Ensure the exceptional software you create influences them to be exceptional professionals in their respective fields
• Prototype, design, develop, and deliver complete software features and products that can scale, are fault tolerant, and handle concurrent workloads
• Evolve your language skills by staying current with complementary programming languages, development methodologies, user interface design techniques, and database tools

Requirements

• 5+ years of professional experience in a similar position supporting similar responsibilities
• Professional experience developing software components using Java or Scala as well as JavaScript, Typescript, React, and HTML
• Working knowledge of databases such as MongoDB, Oracle, SQL Server, PostgreSQL
• Object oriented design skills
• Strong understanding of Java and JavaScript design patterns
• Excellent written and verbal communication skills, including presentation skills
• Effective time management and organizational skills
• Knowledge of data formats including JSON, XML, and delimited text
• Fundamental understanding of web services including REST
• Experience working with large codebases
• Strong critical thinking, problem-solving, and analytical skills
• Have a passion for quality, are detail oriented, and have a desire to improve products
• Proven ability to work in a self-led or team environment
• Bachelor’s in computer science or STEM related field

Recommended Qualifications

• Experience with technologies such as Apache Spark, Kafka, OpenSearch, or distributed big databases.
• Knowledge of and familiarity with Java build systems, such as maven
• Knowledge of Docker containers and orchestrators such as Kubernetes
• Good understanding of cloud computing platforms (such as AWS and Azure) and services such as Amazon S3, EC2 and Azure services such as Blob Service, and more
• Understanding of agile software development practices
• Experience using GIS or mapping related software development
• Master’s in computer science or STEM related field

#LI-DR5

#LI-Hybrid

Total Rewards

Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

A reasonable estimate of the base salary range is$118,976—$194,688 USD

The Company

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.

If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email

as********@es**.com











and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

At GrowthX Labs, we’re building a new type of company. We blend cutting-edge AI with human expertise to drive real, sustainable growth. Our mission is to help businesses become media powerhouses through innovative, AI-led content strategies that actually deliver results.

The Role:

Our customers often need help getting their workflows setup on GrowthX Labs. This can be a combination of prompt engineering, data source setup, Python and integration. We’re looking for a talented AI Solutions Engineer to join our team and work hand-in-hand with our enterprise customers to get them stood up. In this role, you’ll co-build GrowthX workflows and help customers adopt our platform across their teams. You’ll be a key player in driving the success of our customers and the growth of GrowthX Labs.

What You’ll Do

• Collaborate with customers to understand their unique needs and goals
• Build custom AI workflows
• Gather feedback and insights from customers to inform product improvements
• LLM prompt engineering to drive high quality, reliable outputs from models
• Designing, crafting, and optimizing prompts that guide our AI systems to generate accurate, informative, and creative outputs
• Train customers on how to use GrowthX and provide ongoing support
• Contribute to the development of best practices and templates for AI workflows
• Work cross-functionally with our product and engineering teams to shape the future of GrowthX

Requirements

What You’ll Need

• 1+ year of experience of building workflows and/or automations that leverage LLMs
• Understanding of AI concepts and LLM prompting techniques
• Excellent communication and interpersonal skills
• Ability to translate complex technical concepts to non-technical audiences
• Methodical, structured approach to problem solving

Nice to Haves

• Familiarity working in Python and working with APIs

Benefits

• Remote Work: Flexibility to work from anywhere.
• Training & Coaching: Extensive training and hands-on coaching to support your professional growth.
• Innovative Environment: Work at the cutting edge of AI and digital growth.
• Impactful Work: Be part of a team that is transforming the way businesses grow online.

How to Apply: If you’re ready to push boundaries and make a real impact with AI-led growth, we’d love to hear from you. Please submit your resume, a cover letter explaining why you’re a great fit for this role, and samples of your writing.

Join us at GrowthX Labs and help define the future of AI-led growth.

Position Title & Department:

 Engineering and Computer Science Librarian

Posting #

4861

Department Description:

USD’s engineering program was founded in 1987. It was established as a school in 2013 by Darlene Marcos Shiley, whose extraordinary vision and inspiration resonate in the hallways, communities, and hearts of engineering students and faculty. Through the years, engineering has grown into a bustling program. The School offers five undergraduate programs, including computer science, electrical engineering, industrial and systems engineering, integrated engineering, and mechanical engineering. Also, the five master’s degree programs consist of Applied Artificial Intelligence; Applied Data Science; Cybersecurity Engineering; Engineering, Sustainability and Health; and Innovation, Technology, & Entrepreneurship. The School is ranked #15 in the nation among non-doctoral granting engineering programs by U.S. News & World Report.

The Shiley Marcos School of Engineering contains three centers: the Center for CyberSecurity Engineering and Technology, the Center for Digital Civil Society, and the Engineering Exchange for Social Justice. The School serves 850 undergraduate students and 350 graduate students and has 48 full-time faculty and 30 part-time faculty members. For more information about the Shiley Marcos School of Engineering, see https://www.sandiego.edu/engineering/.

University Description:

The University of San Diego, a contemporary and engaged Contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity’s urgent challenges.

Detailed Description:

The University of San Diego’s Copley Library seeks an energetic, entrepreneurial-style Engineering and Computer Science Librarian who is passionate about creating and providing library services to Engineering and Computer Science faculty and students. This librarian works onsite and is fully embedded in the Shiley Marcos School of Engineering, meaning the librarian’s office is in the Engineering School. This 12-month tenure-track faculty position reports to the Dean of the University Library and works under the direction of the Coordinator of Graduate programs.

The Engineering and Computer Science Librarian will be deeply engaged and work across a broad-based constituency in the School of Engineering as a member of the Copley Library faculty. This individual is responsible for cultivating a strong collaborative and consultative relationship with faculty and students through one-on-one in-depth research consultations, collection development, and instruction for both undergraduate and graduate programs in face-to-face, hybrid, and online environments. Teaching responsibilities will include curricula and research support, library research methods classes, course-integrated instruction sessions, online education courses, specialized trainings, and workshops. In addition, the Engineering and Computer Science Librarian will assist faculty and students with APA style, IEEE, Endnote, altmetrics, impact factors, literature reviews, copyright, publishing opportunities and procedures by locating data sets and statistics, and grant writing research support. The librarian will have experience using SpringShare products, creating tutorials, and understanding the academic landscape regarding open educational resources, scholarly communication, and electronic resources. The Engineering and Computer Science Librarian will periodically present at the School of Engineering faculty and department meetings. This librarian is responsible for promoting a positive image of the library in the School of Engineering.

This embedded librarian will possess the skill set and interpersonal abilities that will allow them to professionally build a rapport with and advocate for engineering faculty and students. The Engineering and Computer Science Librarian will collaborate with the embedded librarian cohort and consult with the Digital Initiatives Librarian to promote the library’s institutional repository. This librarian will partner on other services and new initiatives with the Engineering faculty and staff, Copley Library faculty, as well as serve on engineering, library, and university committees. They will refer the Engineering faculty and students to appropriate offices and services on campus. Performs other duties as assigned.

Job Requirements:

REQUIRED QUALIFICATIONS

• ALA accredited MLS or MLIS is required.
• Minimum three years Engineering or Computer Science liaison librarian experience in an academic or research library or corporate setting
• Knowledgeable of best practices in science and engineering librarianship
• Conduct consultations in-person, phone, and email
• Possess strong teaching and presentation skills; maintains currency in pedagogical practices and strategies
• Possess strong knowledge of engineering literature (both print and electronic) and scholarly communication practices, e.g., Compendex, IEEE Xplore, INSPEC, Web of Science, and other resources
• Adept at using resources to support instruction, e.g., Blackboard, LibGuides, EndNote, and tutorials as well as keeping up with emerging technologies
• Possess personal attributes and experience to perform outreach work in the engineering school
• Ability to work some evenings to conduct instruction sessions or consultations
• Demonstrate ability to work collaboratively or independently
• Excellent oral, written, and interpersonal skills with strong customer service orientation
• Excellent organizational skills, including time and project management
• Approach work from an equity and inclusion perspective in dealing with students and faculty
• Record of active membership in professional associations and scholarship (presentations and publications) to meet reappointment, tenure, and promotion criteria

 

REFERRED QUALIFICATIONS:

• Passion to work with undergraduate Engineering and Computer Science students.
• Hold an undergraduate or graduate degree in engineering, computer science, mathematics, science, or related field
• Experience working with Engineers in a specialized library or scientific research community
• Experience with collection development
• Experience serving online students and faculty and working remotely
• Familiarity with information literacy outcomes and assessment in the scientific research community
• Monitor and develop best practices for engineering librarianship
• Capable of adapting to change in the School of Engineering and Copley Library
• Experience with software and programming languages appropriate to engineering and computer science, e.g., Solidworks, Excel, SPSS, Tableau, and Stata and programming languages, e.g., R, Python, or others.
• Experience with data science and big data

Posting Salary:

$83,175 to $112,781; Commensurate with qualifications, experience, and advanced degrees; Excellent benefits

The University of San Diego offers a very competitive benefits package including:

• Medical insurance
• Dental, Vision, Life and Disability Insurance
• Retirement plan 403(b) (immediately vested)
• 24 paid vacation days as well as holidays
• Tuition Remission available to you, your spouse, or a dependent
• Professional development support
• Moving expenses covered up to $5,000
• One day per week devoted to research
• One day per week work remotely
• Conference/travel money

Please visit the benefits section of our website to view all of the perks and benefits that USD has to offer.  USD: Human Resources: Benefits

For more information on faculty benefits, please see link: https://www.sandiego.edu/provost/administration/recruitment-and-relocation.php

The salary range provided in this posting reflects what we reasonably expect to pay for this position.  Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget.

Special Application Instructions:

Deadline: Formal review of application will begin October 1, 2024, and continue until the position is filled. The selected candidate can begin work immediately or by December 2, 2024

Click the ‘Apply Now’ button to complete our online application. In addition, please upload the following documents (please do not send any additional materials):

1. 1. Letter of application
   2. Curriculum Vitae
   3. Names, addresses and telephone numbers of four professional references (colleagues, liaison faculty, and previous supervisors)

Questions can be directed to:

Dr. Theresa S. Byrd, Dean of the University Library, (619) 260-2370,

ts****@sa******.edu

If you have any technical questions or difficulties please contact the Employment Services Team at 

jo**@sa******.edu











.

Additional Details:

Princeton Review ranked the University of San Diego #6 most beautiful college campus in the nation. Student enrollment 9,041 undergraduate, paralegal, graduate and law students.

The university is an equal opportunity employer committed to diversity and inclusion and is especially interested in candidates who can contribute to the diversity and excellence of the campus community. Candidates from underrepresented and underserved groups are encouraged to apply.

Special Conditions of Employment:

Effective June 1, 2023, based on CDC guidance, the University strongly encourages all campus members to stay up to date with Influenza and COVID-19 vaccination recommendations.  For more regarding information USD’s COVID-19 protocols, please visit sandiego.edu/onward.

Background check:  Successful completion of a pre-employment background check.

Degree Verification Requirement: Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes. Serious candidates are encouraged to request official transcripts to help expedite the hiring process.

The University of San Diego is a smoking and tobacco-free campus. For more information, visit www.sandiego.edu/smokefree.

Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Waveguide Design (PhD) Responsibilities

• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
• Publish research results and contribute to research that can be applied to Meta product development.
• Develop next generation AR/VR displays with an emphasis on advanced simulations and prototyping to prove new concepts and understand the perceptual impact of those concepts.
• Collaborate with larger Meta Reality Labs Research team to explore novel solution space for AR/VR devices.
• Explore the application of at least one of the following: illumination, wave optics, polarization optics, geometrical optics, waveguide design, stray light/ghost analysis of optical systems.
• This position will have an emphasis on advanced simulations and prototyping to prove new concepts. Specifically, optical design and modeling of waveguides to meet system requirements, and prototyping through cross-collaboration with fabrication experts.

Minimum Qualifications

• Currently has or is in the process of obtaining a Ph.D. degree in Optical Science, Optical Engineering, Electrical Engineering, Physics, Computational Imaging, or relevant technical field.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• 2+ years experience with scientific programming languages (e.g., MATLAB, Python, C++, or Mathematica).
• 2+ years experience in at least one of the following areas of optical research: wave optics, polarization optics, diffraction optics, or geometrical optics, metasurface, computational EM, emphasizing modeling and/or prototyping.

Preferred Qualifications

• Intent to return to degree program after the completion of the internship/co-op.
• Experience working and communicating cross functionally in a team environment.
• 2+ years experience with optical design programs such as Zemax OpticStudio, Virtual Lab, Code V, LightTools, FRED, Lumerical, or similar.
• 2+ years experience with experimental optics and conducting laboratory work (i.e., demonstrated ability to construct proof-of-concept systems and to evaluate performance).
• 2+ years of experience in system-level prototyping work, including hands-on prototyping of bench-top optical components.
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as JOSA, SPIE, OSA, IEEE, CLEO, or similar.

For those who live in or expect to work from California if hired for this position, please click here for additional information. LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to

ac****************@fb.com











. US$7,313/month to US$11,333/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Machine Learning model development and deployment.
• Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications:

• Master’s degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in data and information management as it relates to big data trends and issues within businesses.
• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

About the job

When leading companies choose Google Cloud, it’s a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Technical Sales Specialist, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication, and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply your impact and the impact of the team as a whole.

In this role, you will be a part of a team of Googlers working in an environment of respect and inclusion where we promote equal opportunities to succeed.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

(British Columbia & Canada-Remote Only*) The British Columbia base salary range for this full-time position is CAD 182,000-223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
*Note: Disclosure as required by Bill 13

Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Share in-depth AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
• Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.

Senior Business Analyst

I – Who We Are?

New Mind AI is an innovative and pioneering company specializing in leveraging big data through a comprehensive and holistic approach. From data digitization and classification to deriving meaningful insights and extracting actionable outputs, we employ advanced taxonomies and ontologies to organize data in a structured and insightful manner, creating a semantic layer to better understand corporate data. Our mission extends beyond mere data structuring; we empower companies to transform their data into actionable insights, facilitating dynamic corporate governance.

With over 300 task-oriented and domain-specific AI models, built using an orchestration of experts framework, we provide robust solutions for dynamic corporate governance. By implementing dynamic knowledge network structures, we develop advanced AI models that ensure effective management of corporate data in the business world. Our expertise spans AI-driven business solutions, including AI legal tech products, excelling in natural language processing, deep learning, machine learning, data analysis, and data visualization.

Headquartered in YTÜ Teknopark, Maslak, Istanbul, and operating four specialized laboratories—Data Visualization Lab in India, Data Taxonomy Lab in Bomonti, and Big Data and Legal Tech Labs in Maslak—we are leaders in big data analysis in Türkiye and beyond. Our flagship dynamic knowledge management platforms, Mecellem, Malumat, and Mahfuz, empower professionals across various industries by streamlining complex tasks, optimizing decision-making, and managing business risks with precision.

Through our cutting-edge AI tools, including Generative AI, LLMs, text-to-speech and speech-to-text, image recognition, voice recognition, function call, graphRAG, OCR, blockchain and RAG, we set new standards in business technology. We deliver smarter, more dynamic solutions for the business world, both in Türkiye and internationally.

 

II – Who We Are Looking For?

We are seeking a highly skilled and experienced Senior Business Analyst to join our team. The ideal candidate is a team player who will be responsible for working with company data in various business areas. This role requires strong proficiency in spoken and written Turkish and English, and experience in business analysis and project management. As a Senior Business Analyst at New Mind AI, you will play a pivotal role in translating business needs into functional specifications for AI solutions, collaborating with various departments to understand their data requirements and translate those needs into actionable insights. This involves identifying opportunities to improve business processes using AI, analyzing current processes to identify areas where AI can be implemented to enhance efficiency, accuracy, or decision-making; developing and managing AI projects, working closely with the AI development team to define project scope, timelines, and budgets, ensuring the successful execution of AI projects within stipulated parameters; working with stakeholders to ensure AI solutions meet their needs, communicating technical concepts effectively to non-technical stakeholders, ensuring their understanding and alignment with project goals; and staying up-to-date on the latest trends in AI, remaining informed about the latest AI technologies, best practices, and potential applications in the business world. Your responsibilities will also include analyzing and reporting on key business metrics, collecting, analyzing, and reporting on relevant business data to provide insights for decision-making; developing and maintaining dashboards and reports, creating visual representations of data to track performance against goals and identify areas for improvement. You will also be responsible for fostering collaboration across different teams, building cross-functional partnerships, establishing and maintaining strong relationships with internal and external stakeholders, including product teams, data scientists, and clients; and collaborating with various teams to drive initiatives, working collaboratively with other departments to achieve shared goals and implement new initiatives. You will be expected to stay informed about industry trends and potential opportunities, maintaining competitive market knowledge, conducting market research and analysis to understand industry trends, competitor activities, and potential opportunities for New Mind AI; and providing strategic recommendations, sharing insights and providing strategic recommendations to the management team based on market analysis and industry trends.

 

III – What Will Be Your Responsibilities?

(i) Project Management: Oversee and manage various projects from inception to completion, ensuring they are delivered on time, within scope, and within budget. Coordinate with different departments to ensure seamless project execution and resolve any issues that arise during the project lifecycle. (ii) Product Management: Work closely with product teams to define product requirements, develop product roadmaps, and ensure successful product launches. Monitor product performance and gather feedback to drive continuous improvement. (iii) Track and Report Data: Collect, analyze, and report on key business metrics to provide insights and support decision-making. Develop and maintain dashboards and reports to track performance against goals and identify areas for improvement. (iv) Build Cross-Functional Partnerships: Establish and maintain strong working relationships with internal and external stakeholders. Collaborate with various teams to drive initiatives, share knowledge, and achieve common goals. (v) Maintain Competitive Market Knowledge: Stay informed about industry trends, market conditions, and competitor activities. Conduct market research and analysis to identify opportunities and threats, and provide strategic recommendations to the management team.

 

III – What Will Be Your Responsibilities?

(i) Project Management: Oversee and manage various AI-driven projects from their initiation to completion, guaranteeing that they are delivered on time, within the defined scope, and within budget. Coordinate effectively with various departments to ensure smooth project execution, addressing any issues that may arise throughout the project life cycle. Actively participate in project planning, risk assessment, and mitigation strategies, ensuring that potential challenges are identified and addressed proactively. Develop and implement robust project management methodologies, utilizing industry best practices and tools to ensure efficient project delivery. Create and maintain detailed project documentation, including project plans, progress reports, and post-project evaluations, ensuring transparency and accountability throughout the project lifecycle. (ii) Product Management: Collaborate closely with product teams to define comprehensive product requirements, ensuring they align with both business objectives and user needs. Develop detailed product roadmaps, outlining the product development strategy, timelines, and key milestones, ensuring a clear vision for product evolution. Conduct market research and analysis to identify potential product opportunities and threats, ensuring that product development aligns with market trends and user expectations. Participate in product launch activities, ensuring that products are effectively introduced to the market and meet customer needs. Monitor product performance closely, gathering and analyzing feedback from users and stakeholders to identify areas for improvement and drive continuous product enhancement. (iii) Track and Report Data: Collect, analyze, and report on key business metrics related to the performance of AI solutions and products. Develop and maintain comprehensive dashboards and reports that provide actionable insights for decision-making, utilizing various data visualization tools and techniques. Identify trends and patterns in data, highlighting areas for improvement and optimization within the company’s AI-driven operations. Present data-driven insights to stakeholders, ensuring they understand the implications of key metrics and can make informed decisions. Develop and implement data governance procedures, ensuring the integrity, accuracy, and security of all data collected and analyzed. (iv) Build Cross-Functional Partnerships: Establish and maintain strong working relationships with internal and external stakeholders, including product teams, data scientists, legal experts, and clients. Facilitate collaborative efforts across different departments and teams, ensuring seamless communication and knowledge sharing to achieve common goals. Identify and leverage opportunities for cross-functional collaboration, fostering a culture of teamwork and innovation within the organization. Act as a bridge between technical and non-technical teams, facilitating understanding and cooperation to ensure effective project delivery. Proactively engage with external stakeholders, building strategic partnerships and fostering a positive brand image for New Mind AI. (v) Maintain Competitive Market Knowledge: Stay up-to-date on the latest trends, technologies, and developments in the field of AI and its applications within the business world. Conduct in-depth market research and analysis to identify opportunities and threats, ensuring that New Mind AI remains competitive in the evolving AI landscape. Monitor competitor activities, analyzing their strategies and innovations to identify potential areas for improvement and differentiation for New Mind AI. Provide strategic recommendations to the management team based on market analysis and competitor insights, ensuring that the company makes informed decisions to maintain its market leadership.

IV – What Is Required from You?

(i) Education: A Bachelor’s degree in a relevant field such as Computer Science, Industrial Engineering, Business Analytics, or a related field is required. Equivalent work experience in a related field may also be considered. (ii) Experience: A minimum of 3 years of proven experience in Business Analysis related roles is required. Experience in the management of outsourced projects, demonstrating the ability to collaborate effectively with external teams, is preferred. (iii) Expertise: Proven experience in data analysis, business intelligence, and reporting, showcasing the ability to extract meaningful insights from data is essential. A strong understanding of data modeling and database design principles, enabling the effective structuring and management of data, is expected. Familiarity with various data visualization tools and techniques, enabling the effective presentation of data-driven insights, is also required. (iv) Knowledge: An in-depth understanding of data mining techniques and methodologies, enabling the extraction of valuable insights from large datasets, is crucial. Knowledge of various business intelligence tools and platforms, including but not limited to Tableau, Power BI, and Qlik Sense, is essential. Familiarity with AI technologies, including but not limited to machine learning, deep learning, natural language processing, and computer vision, and their potential applications within a business context, is expected. (v) Skills: Fluency in Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc.) is required, enabling effective communication and data presentation. Strong written, verbal, and collaboration skills are essential, enabling effective communication with both technical and non-technical stakeholders. Excellent presentation skills are expected, enabling the clear and concise communication of complex ideas to diverse audiences. (vi) Language: Strong proficiency in spoken and written Turkish and English is required, enabling effective communication with clients, stakeholders, and colleagues from diverse backgrounds. (vii) Competencies: Demonstrated ability to work independently and as part of a team, showcasing adaptability and collaboration skills, is a must. Strong analytical and problem-solving skills, enabling the identification and resolution of complex business challenges, are essential. Excellent communication and presentation skills are expected, enabling effective communication of ideas and insights to diverse audiences.

 

 

V – Why Work at New Mind AI?

New Mind AI offers a unique opportunity for ambitious young professionals seeking to make a real impact in the rapidly growing field of AI. As a company at the forefront of AI innovation, we are driven by a strong mission to empower businesses with actionable insights derived from data. This translates to a dynamic and stimulating work environment where you will be challenged to think critically, develop your skills, and contribute to groundbreaking projects. Here are some key reasons why New Mind is an ideal place for young talent: (i) be a part of something bigger: Our work goes beyond simply developing AI models. We are shaping the future of business and helping organizations navigate the complex world of data-driven decision-making; (ii) work with leading experts: You will be surrounded by a team of passionate and knowledgeable individuals who are experts in their fields. This collaborative environment fosters continuous learning and growth; (iii) gain valuable experience: You will have the opportunity to work on diverse projects, utilizing cutting-edge AI tools and technologies, including Generative AI, LLMs, and more; (iv) make a real difference: Your contributions will directly impact our company’s growth and success, contributing to the advancement of AI technology and its positive impact on the world; (v) global reach: As a company with a global presence, you will be exposed to a diverse range of perspectives and opportunities to work with clients and partners from around the world; (vi) invest in your future: New Mind is committed to supporting its employees’ professional development and offers opportunities for growth within the company.

 

If you are a driven and ambitious young professional eager to make your mark in the world of AI, New Mind is the place for you.

 

 

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

What’s on offer?
Consultant/Senior Consultant /Principal Consultant – Advisory – One Consulting – Data Analytics
Where?
PAN India
What do we expect?
Must have skills:
 Bachelors/Masters/Computer Science/Equivalent engineering
 Previous Work Experience: 3-7 years (Bachelor Degree holders)
 In-depth experience with various AWS data services, including Amazon S3, Amazon Redshift,
AWS Glue, AWS Lambda, and Amazon EMR, SQS, SNS, Step Functions, Event Bridge.
 Ability to design, implement, and maintain scalable data pipelines using AWS services.
 Strong proficiency in big data technologies such as Apache Spark and Apache Hadoop for
processing and analyzing large datasets.
 Hands-on experience with database management systems such as Amazon RDS, DynamoDB, and
others.
 Good knowledge in AWS OpenSearch.
 Experience in data ingestion services like AWS AppFlow, DMS, AWS Glue etc.
 Hands on experience on developing REST API’s using AWS API Gateway.
 Experience in real time and batch data processing in AWS environment utilizing services like
Kinesis firehose, AWS Glue, AWS Lambda etc.
 Proficiency in programming languages such as Python, PySpark for building data applications
and ETL processes.
 Strong scripting skills for automation and orchestration of data workflows.
 Solid understanding of data warehousing concepts and best practices.
 Experience in designing and managing data warehouses on AWS Redshift or similar platforms.
 Proven experience in designing and implementing Extract, Transform, Load (ETL) processes.
 Knowledge of AWS security best practices and the ability to implement secure data solutions.
 Knowledge of monitoring logs, create alerts, dashboards in AWS CloudWatch.
 Understanding of version control systems, such as Git.

Nice to have skills:
 Experience with Agile and DevOps concepts.
 Understanding of networking principles, including VPC design, subnets, and security groups.
 Experience with containerization tools such as Docker and orchestration tools like Kubernetes.
 Ability to deploy and manage data applications using containerized solutions.
 Familiarity with integrating machine learning models into data pipelines.
 Knowledge of AWS SageMaker or other machine learning platforms.
 Experience in AWS Bedrock for GEN AI integration
 Knowledge of monitoring tools for tracking the performance and health of data systems.
 Ability to optimize and fine-tune data pipelines for efficiency.
 Experience in AWS services like: Code Pipeline, Code Commit, Code Deploy, Code Build, Cloud
Formation.

Mandatory skill sets-AWS Data Engieer
Preferred skill sets-AWS
Year of experience required-4-7 Years
Qualifications-BE / BTech / MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

AWS Devops

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Business Analytics Consultant Sr within PNC’s Technology organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, or Birmingham, AL. This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager’s discretion.

The following qualifications are preferred:
• Strong knowledge of developing analytical, reporting and data visualization solution using BI tools
• Expertise with database and data warehouse designs, data modelling, data performance tuning and data integration
• Hands-on experience with physical and relational data modeling
• Proven experience with ETL tools and other coding techniques to code scripts and/or stored procedures
• Experience with relational databases (Teradata/Oracle)
• Expert knowledge of writing complex SQL queries to pull and summarize large datasets, report creation and ad-hoc analyses
• Advanced knowledge of Python and Tableau (Tableau Desktop Certification a plus)
• Demonstrated ability to think beyond raw data, interpret unstructured data and understand the underlying business context and sense business opportunities hidden in data
• Strong written and oral communication skills; ability to communicate and present information at varying levels of detail depending on the audience
• Ability to work effectively in cross-functional teams and influence business partners
• Strong organizational and prioritization skills
• Enthusiastic, self-motivated, effective under pressure

Job Responsibilities:
• Gather requirements and work with stakeholders to analyze business needs around BI reporting and dashboards
• Analyze data using tools such as Tableau, SQL and Python to develop and automate reports or analysis that leads to actionable business insights
• Comprehensive report analysis and design experience with knowledge of data warehouse/database structures and data modelling, PL/SQL
• Build intuitive interfaces, visualizations, and infographics with storytelling dashboards
• Identify, analyze, and interpret trends or patterns in complex data sets
• Drive innovation with stakeholders during agile development sessions to create and improve dashboards leveraging newly on-boarded data sources
• Responsible for full life cycle of BI reporting solutions, including research, design, development, testing, documentation, implementation, training, and support for report development projects
• As a member of our Security & Enterprise Response Team, we look first and foremost for people who are passionate around solving business problems through innovation

Job Description

• Leverages complex analytical tools to provide business and technical expertise for the analytics process, tools and useful applications across multiple functions or business units to create data driven solutions.
• Consulting to clients on tool and strategy implementation and monitoring, statistical scoring, business intelligence, data quality, and analytical product / solution development.
• Determining the optimal analytic approach and supporting development, implementation and enhancements.
• Conceptualizing, developing and continuously optimizing analytical solution for operations and executive management to enable data driven decision making.
• Analyze results and make recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

• Customer Focused – Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk – Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC’s Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Business Intelligence (BI), Concept Development, Data-Driven Decision Making, Data Integration, Market Research, Performance Metrics, Qualitative Research, Strategic Planning

Competencies

Analytical Thinking, Business Acumen, Business Analytics, Consulting, Decision Making and Critical Thinking, Effective Communications, Emerging Technologies

Work Experience

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility*: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit pncbenefits.com > New to PNC.

*For more information, please click on the following links:

Time Away from Work

PNC Full-Time Benefits Summary

PNC Part-Time Benefits Summary

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at

Ac******************@pn*.com











. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses.  Applicants may also call 877-968-7762 and say “Workday” for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace.  We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.