Category: FindAI Jobs

Company Description

Waipapa Taumata Rau | The University of Auckland

Ko te whare Pūtaiao | The Faculty of Science brings together 10 diverse schools and departments to provide outstanding quality teaching and research opportunities. Being the leading science Faculty in New Zealand and is one of the largest in Australasia, it undertakes world-class research across the physical, biological, and computational sciences. More than 8,000 students’ study in our schools and departments, learning from internationally renowned lecturers.  We strive to provide a Faculty that reflects the demographics of our student base and Aotearoa. Our staff and students can connect with our: Rainbow and Women in Science networks, Parenting support, our Waipapa Marae and our flagship Tuākana Māori and Pacific support programme

Job Description

Te Whiwhinga mahi | The opportunity

We’re looking for a self-motivated person with a strong grounding in university research environments, and experience with research software or computational languages (e.g., Python, R), and digital data and computational skills (e.g., Linux, managing virtual machines, and moving data) You will bring your skills and passion from areas, such as: domain research, data science and analytics, research management, information and library sciences, or teaching and outreach. Key to success will be having a demonstrable understanding of the research data landscape, a track record of leading projects or services, a genuine desire work collaboratively to deliver and improve digital research data services, and willingness to lead and contribute to researcher skills and development. 
 
In this role you will proactively engage with the research community – research staff, research postgraduates, and those that support them – across the University raising awareness and use of modern and emerging research technologies and tools, including CeR services. You will advocate for and enable researchers to manage research data and code following best practices, including reproducibility and the FAIR and CARE data principles, through data consultations and outreach activities at various levels. You will lead engagements at a range of levels, individual researchers through to Faculty meetings or groups of research service providers, to co-design, deliver and embed services. You will also contribute significantly to the provision of CeR core services, including the organisation and delivery of digital research skills (e.g., considerations when using AI tools) and community building offerings that involve hundreds of participants. 
 
Research needs and opportunities are constantly evolving and emerging, so we are looking for people who are willing and able to quickly learn new skills and collaborate effectively. You will need to be an effective communicator and take ownership to deliver results in our open, collegial environment. You will also have a demonstrable passion for research and for supporting researchers. 

This is a permanent role (37.5 hours per week) role.

Remuneration:  $107,500 to $132,700 depending on level of experience.

For more detailed information, please refer to the Position Description 

Mō tō mātou rōpū | About the team

The Centre for eResearch is a University platform providing eResearch capability across Waipapa Taumata Rau | The University of Auckland. Our mission is to develop new ways to apply computer and information technologies to research disciplines, and then help researchers to use them. This mission applies to the entire range of research disciplines across the University. 
 
We seek creative, enthusiastic, and talented people with skills and interests to complement our multidisciplinary eResearch team who enjoy interacting with researchers and working in a dynamic team environment. You will contribute to and benefit from the team’s broad skill base and be excited by the opportunity to work across multiple research fields and in a variety of different capacities. Researcher needs are always changing, so the support we offer is constantly evolving to keep pace with emerging needs and opportunities

He kōrero mōu | About you

To be considered for this role it is essential that you have a relevant postgraduate qualification in or progressing towards postgraduate qualifications in a Science or IT discipline

Essential Experience/Skills

• 5+ years’ experience with research data and software development lifecycles.
• 5+ years’ experience conducting research or working with researchers and research communities to adopt eResearch practices and/or services.
• Ability to collaboratively discuss computational and research problems at length
• Excellent written and verbal communication skills, including the ability to prepare professional documentation for various audiences, and to tailor discussions to the needs of both technical and non-technical research audiences
• Proven outstanding organisational skills, with the ability to plan and prioritise multiple tasks, meet deadlines, and maintain excellent attention to detail/accuracy

Ngā āhuatanga kei a mātou | What we offer

The University of Auckland is New Zealand’s leading university and maintains significant computational, laboratory and analytic facilities. Auckland itself is frequently rated as one of the world’s most liveable cities. 

The University is committed to providing an excellent working environment through:

• Flexible employment practices (including working from home, flexible hours)
• Up to 6.75% company superannuation scheme
• A competitive salary with five weeks’ annual leave

In addition, we also offer career development programmes, discounted car parking, a generous parental leave allowance, childcare, and a number of other discounts on internal and external services. 

Me pēhea te tuku tono | How to apply

Applications must be submitted online, by the closing date of 4th September 2024 to be considered. We may close this advert early if we have a large number of applications. Please include your cover letter and your CV highlighting how you can meet the skills and experiences detailed above.

Please reach out to Laura Armstrong (eResearch Engagement Lead)

l.*********@au******.nz











for a confidential conversation. Please note we are happy to answer your questions, but we do not accept applications by email.

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment.  For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz

Additional Information

 

 

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment.  For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz

The University is committed to providing a safe, inclusive, and equitable environment where everyone can thrive. For further information see Te Ara Tautika | the Equity Policy and visit www.equity.auckland.ac.nz

 

Company Description

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, we enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you’re from or what you believe in, we build, we deliver, we lead. We are Delivery Hero

Job Description

We are on the lookout for an Associate Data Analyst (all genders) to join the International Markets team on our journey to always deliver amazing experiences.

Within the International Markets team at Delivery Hero, we:

• Drive Delivery Hero strategy and cascade it to our 70+ markets while ensuring local insights and priorities are taken onboard into the global strategy

• Support P&L and portfolio management actions, both at global and regional levels, and ensure alignment between strategy and P&L

• Prioritize and execute value creation and performance improvement initiatives supporting our regional / local teams with a consultative yet hands-on approach

• Are the key point of contact between the headquarters and our regional and local management entities

 

In this role, you will:

• work within a large and high-performing team focused on providing the company’s Senior Management with key insights guiding Delivery Hero’s strategy

• monitor and challenge the business performance, both operational and financial, and highlight ways to improve it with supporting analysis

• present your insights and recommendations to key decision makers, including Delivery Hero C-level Management, Regional Directors, and local Management and/or function teams such as Marketing, Sales, Quick Commerce, Logistics and Product

• help set targets for Local Management teams in Delivery Hero’s 70+ markets

• work closely with BI and Data teams to build products, frameworks and analysis 

 

Qualifications

• You have 1+ years of work experience as a Data Analyst or Business Intelligence Analyst in a fast-paced and dynamic environment

• You have a proven track record of transforming large, complex datasets into meaningful insights and intuitive data products

• You have a basic familiarity with statistics that allows you to draw reliable insights from limited panel data

• You are able to query and manipulate data sets using SQL and visualisation tools such as Tableau and Looker, and have experience with big data tools such as BigQuery and Redshift

• You are a hands-on team player with excellent English communication skill

 

Nice to have:

Additional Information

• Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

• We offer 27 days holiday with an extra day on 2nd and 3rd year of service

• Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy

• Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank,  Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan

• Look up and go for it. We will support you in developing yourself and your career: 1.000 € Educational Budget, Language Courses, Parental Support

• The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts

At Delivery Hero, we believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring — therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. Just be yourself and we can’t wait to see what value you bring to the role. We’re as interested in your character as we are in your talent.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.Software Engineer, Product Responsibilities

• Develop, design, create, modify, and/or test software applications or systems for various products or software services.
• Develop a strong understanding of relevant product area, codebase, and/or systems.
• Demonstrate proficiency in data analysis, programming, and software engineering.
• Produce high-quality code with good test coverage using modern abstractions and frameworks.
• May be assigned to specific group focused on product or infrastructure.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
• Work independently, use available resources to get unblocked, and complete tasks on schedule by
  exercising strong judgment and problem solving skills.
• Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.

Minimum Qualifications

• Requires a Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Statistics, Physics, Applied Sciences, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following:
• Coding in at least one of the following industry-standard languages: C, C++, Java, or C#
• Creating web applications using at least one of the following: Python, PHP, or Ruby
• Relational databases and SQL
• Implementing web interfaces using at least one of the following: JavaScript, HTML, or CSS
• Conducting design and code reviews.

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











. $145,307/year to $158,400/year + bonus + equity + 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.

About Phaidra

Phaidra is building the future of industrial automation.

The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they’ve operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:

• We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.
• We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.
• We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.

Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind’s AlphaGo, to reducing the energy required to cool Google’s Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.

Phaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, Japan, Singapore, and India.

**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**

Who You Are

We are looking for a driven Software Engineer (Backend) to be a part of our growing Data Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.

The Data platform team at Phaidra is responsible for –

• Building streaming & batch components that power both realtime & historical data ingestion & processing
• Building and optimising the data and feature stores
• Building high-throughput and highly-available multi-modal APIs used throughout the organization, from agent training, to realtime inference to user facing applications.
• Building services to fetch and store external third party data (ex. weather forecasts) required for AI training.

*We are seeking a team member located within one of the following areas: USA, Canada, the UK, Ireland, Norway, Spain, Italy, or Portugal. 

In the United States, we accept applicants located in the following states: California, Colorado, Connecticut, Georgia, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington. 

In Canada, we accept applicants located in the following provinces: Ontario, British Columbia, and Alberta.

Responsibilities

As an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Software Engineering, Distributed Systems, Machine Learning, MLOps and DevOps. In particular, depending on your interest, you will –

• Build scalable components for the Data platform to allow high throughput data ingestion & data processing, which feeds the data into agents doing realtime inference for autonomous control of industrial systems.
• Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.
• Design and optimize a secure and efficient system for storing and utilizing data. This includes developing strategies for data management, implementing security measures to protect sensitive information, and continuously monitoring and improving the system’s performance to ensure maximum efficiency.
• Design and develop systems to store and serve batch data for agent training or analytics.
• Make the platform deployable in cloud, hybrid and on-prem environments.
• Perform DevOps duties of CI/CD, Release & Deployment management.
• Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.

Onboarding

In your first 30 days…

• You will be immersed in an onboarding program that introduces you to Phaidra and our product.
• You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.
• You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.
• You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.
• You will learn about how we use agile and be able to navigate our sprint boards and backlogs.
• You will learn about various team standards and development & release processes.
• You will start to learn about our system architecture and infrastructure.
• You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.

By your first 60 days…

• You will have a solid understanding of what Phaidra does and how we do it.
• You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.
• You will have completed the onboarding exercise and will be on your way to completing your first production task.

By your first 90 days…

• You will have been fully integrated in the team and with team members across the company.
• You will get a more in-depth understanding of our system architecture and infrastructure.
• You will have completed your first on-call experience helping monitor and improve our production environments.
• You will have become an expert with our tooling.
• You will have started to contribute to knowledge sharing throughout Phaidra.

Key Qualifications

• 4+ years of work experience.
• Bachelors or Masters in Computer Science, or equivalent experience.
• Experience with production Software Engineering – relational and non-relational data modeling, micro-services, understanding of event driven systems, etc.
• Experience operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings.
• Share our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.

Bonus

• Experience in building, maintaining and monitoring scalable data platforms
• Experience building scalable multi-tenant services for high throughput.
• Experience with containerization and orchestration technologies like Docker & Kubernetes.
• Experience with configuring cloud infrastructure using configuration management tools like Terraform or Jssonet, Kapitan, Helm, etc.
• Experience with building applications that can be deployed in cloud, hybrid or on-prem environments.
• Experience with Machine Learning: Knowledge and preferably completed course on Supervised and Reinforcement Learning.
• Exposure to some industrial control systems and/or processes.

Our Stack

• Python, Go
• Ray.io, Prefect
• REST & gRPC micro-services
• Docker, Kubernetes, Terraform & Kapitan
• GCP – GKE, PubSub, CloudSQL, BigTable
• Postgres, MongoDB, etc.
• Grafana Cloud, Prometheus
• Poetry, Pants
• Gitlab CI, ArgoCD, Atlantis

General Interview Process

All of our interviews are held via Google Meet, and an active camera connection is required.

1. Meeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.

2. Hiring Manager interview (30 minutes): This is an introduction call with the hiring manager so that the candidate and the hiring manager can get to know each other better. It will mainly focus on your previous experience and technical background. This meeting is also meant to enable you to ask any questions about the team & role.

3. Technical Interview 1 (75 minutes): The purpose of this interview is to assess problem solving ability using data structures & algorithms. 

4. Technical Interview 2 (90 minutes): In this interview, we will go over a real world distributed systems problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring.

5. Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.

Base Salary

• United States Residents: $90,000-$134,000/year
• Canada Residents:CA$108,000-CA$135,000/year
• UK Residents: £72,800-£91,000/year

Salary ranges for other countries (Italy, Spain, Portugal, Norway, Ireland) will vary based on the market rate for the location.

This position will also include equity. These are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.

Benefits & Perks

• Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.
• Phaidra is a 100% remote company with a digital nomad policy.
• Competitive compensation & equity.
• Outsized responsibilities & professional development.
• Training is foundational; functional, customer immersion, and development training.
• Medical, dental, and vision insurance (exact benefits vary by region).
• Unlimited paid time off, with a minimum of 20 days off per year requirement.
• Paid parental leave (exact benefits vary by region).
• Home office setup allowance, coworking space stipend, and company MacBook.

*Please note that Phaidra’s benefits and perks listed above do not apply to temporary employees such as interns.

On being Remote

We are thoughtful about remote collaboration. We look to the pioneers – like Gitlab – for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings weekly to build strong relationships. We hold virtual team building events once per quarter – and even hold virtual socials to watch rocket launches! We have had all-company summits in locations like Seattle, Athens, Goa, and Barcelona.

Equal Opportunity Employment

Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at 

hi****@ph*****.ai











.

E-Verify Notice

Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.

Additional information about E-Verify can be found here.

#LI-Remote

WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Machine Learning Software Engineer

The Opportunity: 

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support federal AI infrastructure. As a machine learning (ML) engineer on our Stategic Innovation team, you’ll train, test, deploy, and maintain models that learn from data.  

In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a large community of machine learning engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to deliver solutions to real world problems through ML algorithms, and systems. Your consulting skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. 

Work with us to solve real-world challenges and define ML strategy for the federal government.

Join us. The world can’t wait.

You Have:  

• 2+ years of experience in a dashboard development, data science, MLOps, DevOps, software engineering, data research, or application development role

• Experience with natural language processing, deep learning, reinforcement learning, or computer vision project work

• Experience with developing in Java, Python, C++, or Go 

• Experience with scripting in Bash, PowerShell, Python, Groovy, or Ruby

• Knowledge of container networking, monitoring, and storage solutions

• Ability to develop infrastructure-as-code, including activities around the automated server or network configurations, large-scale software deployments, or monitoring and testing, including CI/CD

• Secret clearance  

• Bachelor’s degree

Nice If You Have:  ​

• 2+ years of experience with container tools, including Docker, Kubernetes, or Rancher

• 2+ years of experience deploying Kubernetes in a platform or cloud offering, including GCP, AWS, or Azure

• Experience with Authority to Operate (ATO) processes for DoD operations

• Experience using or migrating CI/CD pipeline solutions or tools, including GitLab

• Experience with system integration using a variety of protocols, including JSON, REST, and XML

• Knowledge of cloud and virtualization-based technologies, including Docker, Azure, or Amazon Web Services (AWS)

• Knowledge of Linux or UNIX administration and automation, and foundational system administration principles

• Knowledge of classified environment processes and protocols

• Kubernetes Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Create Your Career:

Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms. 

A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time.

Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home. 

Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us. 

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $75,600.00 to $172,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

OUR HIRING PROCESS:

• We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
• We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
• At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
• From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. After all, we consider our team members our family, and we want you to feel comfortable and welcomed.

 

Are you passionate about maximizing the impact of marketing content to achieve the best outcome for the brand and its audience? We are looking for a dynamic Content Marketing Associate to join our team. If you have a creative mindset, critical thinking, and strong writing skills, we invite you to bring your talents to our innovative company. Join us in empowering our clients’ voices and helping them promote content that makes a difference.

Qualifications and Skills

Marketing education/background

Proficient English speaking/writing

Proactivity and attention to detail

Strong analytical skills and ability to identify correlations and trends

Proven ability to engage and interact with internal teams to seek clarity and achieve common goals

MS Office proficiency (Excel, G-Sheets, G-Docs, PowerPoint, etc.)

Basic understanding of AI tools and prompts

Relevant background in Content Writing or Marketing would be a plus.

Responsibilities and Duties

Work on custom reports and presentations for our clients

Conduct market research and keep up to date with current trends

Analyze campaign performance results and draw conclusions regarding the use of content

Provide insights and recommendations on content strategy

Enhance promotions by optimizing messaging or suggesting relevant custom questions

Perform other duties supporting marketing campaigns as assigned

Schedule: 9am to 6pm or 8am to 5pm Boston time (EST)

When our values align, there’s no limit to what we can achieve.
 
At Parexel, we all share the same goal – to improve the world’s health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special – a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we’re committed to making a difference.

We are looking Site Intelligence Analyst that should be data driven, supporting feasibility in identifying right sites by create site list and questionnaire in different systems, historical trial performance analysis and visualization creation. It will support business bid defense meeting, new software implementation, and tool development to improve work efficiency and data integrity, PI, and Center data cleaning to ensure good quality of data. It will create dashboards and will be accountable for maintaining them. As SI you will be able to work in an international environment and find an insight from a huge amount of data.

Skills needed:

• Programming ability with Python/SQL/Excel VBA in tool creation for data analysis on internal and external study performance or existing investigator review/analysis/reporting.
• Familiar with dealing a huge amount of data.
• Experience in database management.
• Programming skills such as Excel VBA, Python, SQL are preferred.
• Ability to work successfully in a virtual global team.
• Advanced computer skills including MS Office products such as Word, Excel.
• Accurate and detail oriented.
• Strong organizational skills, polished communication manner.
• Sound interpersonal, verbal, and written communication skills.
• Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail.
• Effective time management to meet daily metrics or team objectives.
• Client-focused approach to work Education.
• MS. in Informatic, Statistics, Mathematics, International Business are preferred.

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities.

Working at WPP means being part of a global network of more than 115,000 accomplished people in 110 countries. WPP has headquarters in New York, London and Singapore and a corporate presence in major markets worldwide.

We create transformative ideas and outcomes for our clients through an integrated offer of communications, experience, commerce, and technology.

WPP and our award-winning agencies work with most of the world’s biggest companies and organisations – from Ford, Unilever and P&G to Google, HSBC, and the UN. Our clients include 61 of the FTSE 100, 307 of the Fortune Global 500, all 30 of the Dow Jones 30 and 62 of the NASDAQ 100. WPP are the leader in the Bloomberg Gender Equality Index and 20th in the FTSE 100 rankings for Women on Boards.

Visit our LinkedIn page to see what we’re up to!

Why we’re hiring:

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects. 

Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics. As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks. 

As a hands-on technologist with an extensive data engineering background, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration. 

 

What you’ll be doing:

• Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.
• Implement secure platforms with data governance in mind.
• Play a key role in automation and building industry leading solutions against architectural best practices.
• Propose technical designs and develop integrations.
• Deliver data migrations between legacy & modern platforms
• Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.
• Support cross-functional teams across the data space. 

 

What you’ll need:

• Experience designing and building scalable distributed data pipelines and dimensional data models
• Experience in Python and SQL
• Experience using Databricks is a must.
• Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault
• Ideally experience in DBT, Kafka, Delta Lake, PySpark, Pandas
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.
• Fluency in English.
• Exposure to Data Science & ML technologies is a plus. 

.

Who you are:

You’re open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are accepting: of new ideas, new partnerships, new ways of working.

You’re optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You’re extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

 

 

What we’ll give you:

Passionate, inspired people – We promote a culture of people that do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

 

If this role hasn’t captured your interest, that’s ok! Would you consider sharing your opinion?
  
At WPP, we’re always trying to improve our hiring process, so your feedback is appreciated. Don’t worry, all responses will not influence any future applications that you may make. 

https://forms.office.com/r/JdFf70VQdP

 

WPP is an equal opportunity employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability. We believe in creating a dynamic work environment that values diversity and inclusion and strives to recruit a diverse slate of candidates to help us achieve that goal.

Please read our Privacy Notice (https://www.wpp.com/people/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.

SC JOHNSON IS A FIFTH-GENERATION FAMILY COMPANY BUILT ON THE SPIRIT OF OUR PEOPLE. We have been leading with purpose for over 130 years, building iconic brands that win the hearts and minds of consumers – such as Raid®, Glade®, Ziploc® and more, in virtually every country around the world. Together, we are creating a better future – for the planet, for future generations and for every SCJ team member. Join our winning team of Wave Makers and Go Getters and help us write the next chapter in the SCJ story.

S.C. Johnson & Son Inc.

Title: Digital Strategy & Transformation Manager

Summary:

The Digital Strategy & Transformation Manager at S.C. Johnson & Son, Inc. in Racine, WI will build strategy for enterprise level data foundation, build sustainable support models, drive end user adoption, and deliver business value. Salary Range: $124,240 – $186,360.

Essential Duties and Responsibilities:

This position will:

• Shape analytics capability roadmaps to accelerate business outcomes, in partnership with the business unit, regional/functional stakeholders and Data & Analytics technical team.

• Recommend appropriate software solutions while analyzing and evaluating impact on current business processes.

• Work with business process owners to understand existing, emergency, and emerging business software requirements in Sales & Marketing.

• Research and evaluate software solutions or software application alternatives.

• Define and orchestrate strategy for data foundation, modernizing reporting & analytics, and infuse advanced analytical capabilities into business processes.

• Provide regular, timely, transparent communication on progress against analytics product / solutions and capability roadmaps to both internal BPT and functional stakeholders.

• Drive harmonization and standardization of our data, reporting and analytics solutions to unlock efficiency and enable relevant business insights.

• Manage risk associated with implementation and facilitate continuous improvement process for the products to deliver measurable outcomes.

• Ensure delivery of scalable process and tools to automate or transform work that would otherwise be disparate, manual, or time-consuming.

Required Skills / Experience / Competencies:

• Master’s degree in Analytics, Statistics, Computer Science, or a closely related field, and five years in a SAP TPM occupation within a global organization spanning multiple functions. Employer will also accept a Bachelor’s degree in Analytics, Statistics, Computer Science, or a closely related field, plus seven years in a SAP TPM occupation within a global organization spanning multiple functions.

• Must include five years of experience in each of the following: (1) integration of SAP TPM, TCM, and TFM with other SAP modules, including SAP ERP, BW, HANA, and Dispute Management; (2) software requirements gathering, documenting, conceptual design, prototyping, and validating the needs of the business stakeholders; (3) SAP configuration, RICEFW (Reports, Interfaces, Conversions, Forms and Workflows), and customization and development standards; (4) TPM Optimization, Retail-Consumption, and CRM analytics; (5) Digital marketing analytics; (6) written and verbal communication and collaboration with Sales and Marketing senior executives and leaders; (7) guiding teams in feature engineering, algorithmic choices, hypothesis testing, performance improvements, and model refreshes; (8) IT outsourcing models and governance including Cloud, Managed Services, Strategic Sourcing partnerships; and (9) MLOps for model deployment and CI/CD pipeline deployment.

Inclusion & Diversity

We’re a global business, with people from every culture, ethnicity, race, religion, gender identity, sexual orientation, age and ability. We recognize the breadth of human experience, and we work to celebrate it. It is our goal to build a diverse, inclusive and supportive work environment where all people can thrive.

We’re committed to ongoing efforts that help us attract, hire, and retain diverse talent who want to build a positive, inclusive environment. Read more about our ongoing initiatives at https://jobs.scjohnson.com/inclusion.

Better Together

At SC Johnson, we strive to create a positive, inclusive and unique workplace. We strongly believe SCJ people are able to achieve their best when they can collaborate and work together in person.

Equal Opportunity Employer

The policy of the Company is to ensure equal opportunity for all qualified applicants and employees without regard to race, color, religion, gender, marital status, sexual orientation, national origin, ancestry, age, gender identity, gender expression, disability, citizenship, pregnancy, veteran status, membership in any active or reserve component of the U.S. or state military forces, genetic history or information or any other category protected by law.

Accommodation Requests

If you are an individual with a disability and you need an accommodation or other assistance during the application process, please call our Human Resources department at 262-260-3343 or email your request to

SC***@sc*.com











. All qualified applicants are encouraged to apply. Download the EEO is the Law poster for more information. 

Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence.

The Actuarial manager is responsible for a highly technical team’s leadership, maintenance and growth. Our ideal candidate will provide technical support and development opportunities to their team based on their actuarial and/or data science expertise.

This role supports our data science requirements across diverse projects impacting one or several key business areas: Data Science, Commercial Lines, Personal Lines, Claims, Marketing and Fraud Management.

Our priority is understanding key business areas and executing on opportunities where Data Science can accelerate growth, increase profitability, and reduce operational costs at Aviva. The manager’s responsibilities extend to seeking opportunities and supporting products and other output from inception to production.

Come join our team!

What you’ll do:

• Support and develop a high-performing technical team focused on data science.

• Provide learning and growth opportunities to the team based on the manager’s technical proficiency in actuarial and data science.

• Oversee the development of data science products, models and other data-driven outputs while supplying in a technical capacity when vital.

• Ensure tight-knit collaboration with all relevant partners, technical teams, and users across the organization.

• Straddle the worlds of insurance professionals, data scientists and engineers to prioritize data-driven solutions.

• Work closely with business partners to understand day-to-day challenges and key areas of opportunity for innovation and growth.

• Frequent communication with the business lead and managers of business areas impacted by their work.

• Direct communication with users of insights, tools and processes.

• Engage directly with users, empathize with their experience, and use data to advise decisions.

• Provision of data innovation, support, and insights to our key business areas.

• Model monitoring to ensure the ongoing quality of pricing models.

• The development of tools that give non-technical users accesses to ingestible data & insights.

• Smoother integration of data science into crucial business areas, either as novel entries or improvements to existing processes or tools.

• Communicating and presenting data science solutions, results, and outcomes up to a VP level.

What you’ll bring

• Undergraduate degree in Actuarial Science, Data Science or other related fields, or equivalent experience.

• At least five years of experience working in an Actuarial Science or Data Science driven organization or team.

• Demonstrable experience leading technical professionals in managerial or senior technical roles are preferred.

• Ideal candidates have experience in applying data science and/or computer science in the P&C insurance space.

• Expert proficiency in at least one programming language, preferably Python. A proficiency is sufficiently strong enough to mentor.

• Excellent communication skills and comfort communicating sophisticated ideas appropriately for senior leadership and non-technical audiences.

• Understanding of UI/UX design and how it impacts the user experience.

• Ability to assess and improve the usability and design of a solution.

What you’ll get

• Competitive rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.

• Our vacation package starts at 4 weeks!

• Exceptional Career Development opportunities.

• We’ll support your professional development education.

• Hybrid work model

Aviva Canada has an accommodation process in place to provide accommodations for employees with disabilities. If upon commencement of employment, you require a specific accommodation because of a disability, please contact your Talent Acquisition Partner so that an appropriate accommodation can be arranged. This process applies throughout your career with Aviva Canada.