31May

Data Strategy Lead Graduate Externship at Beam Impact – Remote


At Beam, we’re on a mission to shift $10B from brands to nonprofits by creating what loyalty would look like if it were designed for today’s customers. Last year, we grew revenue by 4.6x while also funding the prevention of >2B lbs of CO2 emissions, 7M meals for families experiencing food insecurity, 5K hrs of free therapy, and much more.Across our network of 250+ mission-driven brands like Tarte Cosmetics, Roots Canada, and Olipop, we let you make ~1% of every purchase go to a high-impact nonprofit you choose from a curated set reflecting what the brand stands for–at no extra cost.As customers see how their dollars are going towards goals, like funding the removal of 10K lbs of plastic from the ocean, Beam builds emotional buy-in. We lift average order value by 15% and convert 30% more customers to make a second purchase within 90 days–far outperforming traditional loyalty, especially with millennials and Gen Z.Our work to help people turn their spending power into tangible impact every day has been recognized by Forbes 30 Under 30 for Social Impact, SXSW, Cannes Lions, and more.
Beam Impact is seeking a highly motivated new graduate to join our team as a Strategy Extern. This position offers an extraordinary opportunity to gain firsthand experience using data, strategy, planning, and execution within a fast-growing startup environment. The ideal candidate will bring fresh insights and a strong analytical skill set to tackle challenges and contribute to our mission. Here are some areas you’ll work on during your externship:

About the Role

  • Strategic Analysis: Analyze ROI, identify opportunities to deepen partnerships, maximize value for our partners, and present findings and recommendations to the CS team, CEO, CEO and clients
  • Data Analysis: Leverage SQL & Excel to lead analysis of live A/B tests in order to convert revenue and deepen product performance
  • Project Management: Assist in managing key projects, coordinating across different teams to ensure timely and successful execution.
  • Operational Support: Provide support in optimizing internal processes and workflows to enhance efficiency and effectiveness.
  • Client Engagement: Lead client meetings and contribute to developing client relationship management strategies.

About You

  • You’re a recent graduate excited to leverage your strategic acumen in a real-world environment. You’re interested in joining a highly motivated team dedicated to building a category-defining product that drives significant social impact. You get excited to dig deep into the numbers to help our partners and internal team make decisions based on data.

Qualifications

  • Work experience: Minimum two years work experience in a role with heavy emphasis on data analytics (e.g., management consulting, data science) 
  • Industry: Demonstrated interest in technology, startups, or social impact ventures.
  • Analytics: Excellent analytical, problem-solving, and project management skills. 
  • Communication: Strong written communication and interpersonal skills, with the ability to work effectively in a remote team environment. 
  • Technical Skills: Advanced proficiency in Excel & proficiency in SQL.

Why Join Us?

  • Gain practical experience in a dynamic startup atmosphere directly applicable to your academic focus.
  • Make tremendous social impact
  • You’ll work closely with our team and two co-founders of a Series A company and have the opportunity to contribute substantially to various projects.
  • Participate in a values-based culture where we’re setting the bar for operational excellence.
  • We’re excited to offer this internship to ambitious graduates eager to put their knowledge into practice in a real-world setting. if you’re ready to take on exciting challenges and contribute to our growth, apply below.

We look forward to reviewing applications soon. Application window closes on June 14, 2024
Beam is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by law. We are a remote-friendly company that is able to hire in all 50 states and D.C and Canada. We can’t sponsor working visas, so all applicants will need to have work authorization in the US or Canada.



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31May

HR Data Scientist at NN Group – The Hague – Haagse Poort – High Rise


As an HR Data Scientist at NN Group, you will be working on the cutting edge of data analytics at the largest insurance company in the Benelux. You will help us answer important HR questions so that our workforce can focus on caring for what matters most to our customers and stakeholders.

What you are going to do

This role will place you at the intersection of HR, data, generative AI and other advanced analytics at a company that is leading in the field of data science. On a typical day, you might be investigating an equal pay analysis method to ensure gender parity. Or analysing employee skills to create a bigger pool to choose from for internal vacancies. Or conducting a cluster analysis to pinpoint frequently asked questions so that we can streamline our HR portal and better serve our employees. Furthermore, you will:

  • Analyse and solve HR-related questions using innovative data science and analysis techniques to improve the employee experience and data-driven decision-making in HR
  • Manage the full data science cycle, from identifying an issue and retrieving data from our global HR data platform to presenting the answers in an easily digestible format
  • Support stakeholders in transforming business challenges into data-driven questions that can be resolved through data analysis
  • Explain and visualise your findings to stakeholders such as management and HR directors and advise on the next steps
  • Promote data literacy throughout the HR department by clearly explaining what the data on the dashboard means, especially to colleagues who are not that data-minded

What we offer you

NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves. We offer you:

  • Salary between €3566 – € 5095 depending on your knowledge and experience
  • 13th month and holiday allowance are paid with your monthly salary
  • 27 vacation days for a 5-day working week and one Diversity Day
  • A modern pension administered by BeFrank
  • Plenty of training and learning opportunities
  • NS Business Card 2nd class, which gives you unlimited travel, also privately. Do you prefer to travel with your own transport? Then you can declare the kilometres travelled
  • Allowances for setting up your home office and for internet use

Who you are

You are ready to bring innovative ideas to the table that will help us solve our HR questions, while also being eager to learn and grow. With your innate patience and excellent communication skills, you can easily explain, convince and motivate others to become more data-savvy and base more of their decisions on data. You also have:

  • A Bachelor degree in data science or mathematics with experience in HR or psychology, or a Bachelor degree in HR or social science with experience in advanced data science
  • 3 year working experience in data analytics
  • Proficient in python, SQL or a similar open programming language
  • Preferably experience with large language models or advanced text analytics
  • Preferably experience with a visualisation tool such as Power BI or Tableau and the Azure data platform

Who you will work with

You will be part of a small, enthusiastic, international team of HR data scientists and HR reporting specialists who work in an informal atmosphere. In this role, you will have a lot of freedom to work independently on your focus area. You will also be required to collaborate with HR colleagues within several areas and with IT and data science departments. Along with 40 other data scientists, you will attend get-togethers and knowledge sharing of the Data Science Guild. You will also enjoy regular meetups with direct colleagues on our office Days.

Any questions?

If you have any questions, you can reach out via phone or WhatsApp to the recruiter via Ties Herpers via

ti**********@nn******.com











.



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31May

Data Management Associate at JPMorgan Chase & Co. – Bengaluru, Karnataka, India


As a Data Governance Associate for JP Morgan Chase’s Chief Administrative Office (CAO), you will fulfill a central role in the CAO Data and Analytics Office’s book of work, which includes data governance, data risk management and data strategy. The primary objective of the CAO Data Governance team is to provide the resources, tools and support necessary to monitor, manage and prevent ‘Data Risks’ across a global landscape, lead strategic projects that drive business value, and foster a culture of data ownership throughout the organization.

In this role, you will partner with Subject Matter Experts across the Firm to manage and support the overarching Data Use, Data Privacy, Data Protection risk related obligations. Oversee acceptable use of CAO’s data, ensuring adherence to Data Risk and Data ethics guidelines set forth in the firm’s internal policies, global regulatory and legal requirements. You will also support evaluation, design and improvements to control frameworks which mitigates Data related risk, foster a culture of Data Privacy awareness, and escalate issues to appropriate CAO leadership and governance forum as necessary.

Key responsibilities includes:

  • Support development, maintenance and oversight of complex, cross functional processes for CAO’s Data Privacy and Protection Risk Management Framework, including Records of Processing (Personal Information (PI) Inventory), Data Privacy and Protection Risk Assessments, Privacy Incident Responses, Privacy Notices, Data Subject Requests, and Data Protection
  • Support the organization in implementing a Privacy by Design approach to embed privacy into our products, services, applications, systems, or processes at the point they are being conceptualized and developed 
  • Facilitate Data Use Case intake, prioritization and assessment processes to ensure handling and/or sharing of CAO’s data internally or externally is in accordance with Firmwide policy, global laws and/or regulatory requirements
  • Coordinate holistic review of data use cases with key stakeholders, leadership and data use council, when needed, to drive appropriate decisioning
  • Prioritize Data Use Cases factoring in key deadlines, project go-live dates, and associated levels of risk, ensuring that cases are handled in a timely manner
  • Participate on Firmwide workgroups supporting data risk management, maintaining adequate knowledge of applicable policy and standards, technology and tooling and supporting adhoc projects, as needed
  • Partner with leadership in monthly compliance and program metric reviews, supporting corrective actions where needed, and provide commentary for reporting
  • Support development of  job-aids and training materials that enable data owners and other key partners in identifying, managing and mitigating data related risks
  • Support other areas of data risk management  (Quality, Metadata, Privacy, Storage, Retention & Destruction, Classification), as needed

Required qualifications, capabilities and skills:

  • 3 to 5+ years of financial services industry experience in Data Governance, Data Management, Risk Management, Project Management or Business Analysis role in the past 
  • Strong organizational skills; Detail-oriented and ability to multi-task in a fast paced environment with frequently changing priorities and to meet deadlines under pressure
  • Team player and collaborative mindset; Ability to work independently; High Emotional Intelligence
  • Strong communication skills (both written and verbal).  Ability to communicate business and technical concepts to both expert and novice audiences, and to all levels of the organization
  • Ability to run meetings across diverse functions, locations and businesses 
  • Intermediate to advanced knowledge of Microsoft office (Excel, PowerPoint, Visio, Word, SharePoint)

Nice To Haves:

  • Knowledge of Global Data Privacy Laws (e.g. GDPR, CCPA etc.) and requirements with an ability to relate/ translate privacy, compliance and legal requirements into data governance processes, procedures and controls
  • Foundational knowledge on Information Security, Data Ethics, AI Governance concepts in relation to AI/ML, LLM, Big Data and other emerging areas
  • Prior experience with Risk & Control Assessment, Audit or Compliance
  • Familiarity and/or general use of business intelligence tools (QlikSense, QlikView, Tableau, PowerBI) 
  • Experience with industry standard data management tools (Atlan, Informatica, Collibra, OneTrust) and/or reporting tools (Qlikview, Tableau, PowerBI) 
  • Agile/Scrum experience and associated tools (Confluence, Jira, Kanban)
  • CIPP/CIPM/CISM Certification

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.



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30May

Statistical Programmer (Remote) at Mayo Clinic – Rochester, MN, United States


As a Statistical Programmer, the candidate will support Mayo Clinic research by providing high-value analytical collaborations in the form of data manipulations, analysis and reporting. Current Statistical Programmer needs are focused in various clinical departments. 

Key roles and responsibilities include the following: 

  • Interact and collaborate within multidisciplinary teams, under the direction of project team leads 
  • Familiarity with programming languages and techniques (e.g., SAS, R) 
  • Contribute to project deliverables by critically reviewing and preparing data for data processing, analysis, and/or summarization 
  • Demonstrate strengths in organization, documentation, logical and systematic thinking, written and oral communication 
  • Perform tasks with strong problem-solving skills, with high attention to detail focusing on delivering high quality results 
  • Manage multiple tasks with concurrent deadlines 
  • Work independently and remotely as well as in a team environment 
  • Seek educational opportunities and share knowledge within teams to enhance professional development 

Note: Visa sponsorship is not available for this position. Must be a US citizen, permanent resident, refugee or asylee.

A minimum of a Bachelor’s degree with a major in statistics, biostatistics, bioinformatics, mathematics, computer science, data science, or quantitative degree relevant to the current needs, is required.   

A complete application includes a cover letter, resume, and academic transcripts.   

Preferred qualifications include the following: 

  • Applied experience and/or coursework in programming (e.g., SAS, R, Python), data capture systems, data management, and statistical analysis 
  • Commitment to customer service  
  • Basic knowledge of human physiology and/or medical terminology 
  • Interest in professional growth and continuing education 
  • GPA of 3.0 or greater  

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.



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30May

ML/AI Engineer / NLP Expert – Custom LLM Development (x/f/m) at HelloBetter – Remote


Join us to create the world’s best AI Therapist that will make conversational mental health care universally accessible, affordable and effective to anyone with internet access.

HelloBetter is a leading company in the emerging field of digital therapeutics (DTx) for mental health conditions. We are also a global pioneer in digital mental health research. Our scientifically validated DTx treatments cover a broad range of mental health disorders, including depression, panic, stress and burnout, insomnia, vaginismus, chronic pain and diabetes, alcohol addiction as well as two prevention programmes.

  • Founded in 2015 by Psychologists & global pioneers in digital mental health
  • +€25M total funding
  • +15 years of research history
  • €10M in research grants
  • +100k patients treated
  • +130 team from +19 countries

For more information, check our HelloBetter Handbook.

We recently entered a new era of technology, marked by the introduction of advanced AI systems using transformer architectures, alongside a rapid growth in computational capacities, potentially having an impact that could exceed that of the internet’s invention three decades ago.

With the growth in the number of patients using our products, HelloBetter has gained invaluable insights into how patients benefit from digital mental health programmes. Now, we deploy AI in order to leverage the insights we gained in +15 years of research, having treated +100k treated patients.

From the beginning we defined our vision as making safe, evidence-based, high-quality digital mental health care accessible to whoever might benefit from it. LLMs as a technology allow us to deliver on this vision by offering AI talk therapy at unprecedented levels of interactivity, personalisation and scale.

Envision an app that provides real talk therapy via chat, voice or video interaction, available 24/7 worldwide, empowering millions of people, especially in low- to middle-income countries with underdeveloped healthcare to improve their mental wellbeing in a self-determined way.

Ultimately, we aim to deliver on the promise that mental health is human right: Do you want to be part of that mission?

 

YOUR OBJECTIVES

As the leading expert, you and our team of Machine Learning, LLM, and NLP experts, as well as world renowned psychologists and researchers will pioneer the development of our domain-specific Large Language Model (LLM) for mental health care:

  • Design and architect an AI system with multiple large language models, including a main conversational agent and supplementary models for contextual support.
  • Steer the fine-tuning of language models on specific healthcare domains to ensure high relevance and accuracy in model responses.
  • Implement a RAG system to augment the conversational agent with relevant external knowledge and context.
  • Develop and manage datasets, ensuring data quality and compliance with data privacy regulations.
  • Establish performance metrics to evaluate model effectiveness and system efficiency.
  • Collaborate with cross-functional teams, including data scientists, data engineers, software developers, and product managers, to integrate AI models into existing platforms.
  • Stay updated with the latest advancements in AI, machine learning, and related technologies, applying this knowledge to improve system capabilities.

 

YOUR PROFILE

Must-Haves:

  • Bachelor’s, Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 2+ years experience building and maintaining NLP/Large Language Models on scale
  • Strong experience in developing and deploying large language models and NLP applications.
  • Strong experience in fine-tuning LLMs
  • Proficiency in machine learning frameworks (e.g. TensorFlow, PyTorch).
  • Experience with retrieval-augmented techniques and knowledge-intensive NLP tasks.
  • Excellent programming skills in Python and familiarity with software development best practices.
  • Demonstrated ability to design and implement complex AI systems.
  • Excellent communication skills.

Nice-to-Haves:

  • Experience with cloud services (AWS, Azure) and managing scalable AI solutions.
  • Knowledge of data privacy laws and ethical AI use especially in the healthcare domain.
  • Publication record in AI/ML fields or active participation in relevant professional communities.

 

WHY US?

Meaningfulness

  • Mental health is a human right: we help thousands of people each month who struggle with depression, stress, insomnia, burnout, and other mental health issues

Research & Evidence

  • We have a unique product and are at the forefront of research in digital health applications
  • The effectiveness of our product is continuously evaluated and efficacy studies have been published in international and high-impact journals since 2014
  • Data is of great importance to us and we are transparent about our strategy, goals and results.

Growth

  • As pioneers in the development of applications for various mental health conditions, we are at the forefront of innovation
  • We operate in an extremely exciting and emerging market
  • Annual training budget of 1,000 euros – we place great emphasis on the personal growth of our employees and actively support their development

Remote-First

  • Remote-first culture – we hire globally, considering a time window of +/- 4.5 hours CET (This position is part of a research project supported by the state of Brandenburg. Residency around Brandenburg/Berlin is therefore necessary.)
  • Use of our offices in Berlin and Hamburg if you prefer to work on-site
  • Relocation option and support

Diversity & Inclusion

  • Fair and equal treatment are the standards of our Anti-Harassment Policy
  • Flexible working hours – shape your own day
  • Company language English, with a strong emphasis on inclusive language
  • Transparent salary bands
  • Additional 10 paid leave days for non-birth parents after the birth or adoption of a child

Other Benefits

  • 28 vacation days + additional holidays for public holidays that fall on weekends
  • Tenure based paid time off – up to three additional days
  • Permanent employment contract
  • Attractive VSOP (Virtual Stock Option Plan) for all employees
  • Tax-deductible pension plan with an above-average employer contribution
  • Free or subsidized fitness memberships
  • Regular team events

HelloBetter is an equal opportunity employer and encourages applicants of any national origin, gender, sexual orientation, religious background, gender identity, and people with disabilities to apply.

Privacy Policy for Applicants

 

INTERVIEW PROCESS

  • Introduction Chat (45 mins)
    • Participants: Florian (Talent Partner)
    • Objective: Introduce HelloBetter, discuss the mission and team, share your experience, understand the company’s vision, and address any questions about the role and organization.
  • Technical Interview (60 mins)
    • Participants: Vincent (Lead Machine Learning Engineer), Amit (CTO)
    • Objective: Assess your technical knowledge and experience relevant to LLMs, NLP, and AI. Dive into your technical experience with AI/ML, understanding of AI technologies, and problem-solving capabilities in an AI context.
  • Technical Challenge (3 hours)
    • Objective: Demonstrate your technical skills and how you would lead development. Solve a given problem, develop a strategy, and present a solution including defining the scope, integrating AI technologies, and addressing challenges.
  • Technical Challenge Q&A (60 mins)
    • Participants: Vincent (Lead Machine Learning Engineer), Amit (CTO)
    • Objective: Present your technical challenge solution, receive feedback, discuss your decision-making process, and delve into deeper technical and strategic discussions.
  • Hiring Manager Interview (60 mins)
    • Participants: Amit (CTO and future manager)
    • Objective: Discuss your motivation, career aspirations, company culture, and strategy. Understand your strategic vision for the AI Therapist project, align with HelloBetter’s goals, and explore your leadership and team collaboration skills.
  • Offer Talk
    • Participants: Amit (CTO and future manager)
    • Objective: Present our offer proposal, discuss your start date, relocation, onboarding, and your first 90 days.

 

ABOUT US

HelloBetter was founded under the name GET.ON Institut für Online Gesundheitstrainings GmbH by internationally recognized researchers and psychologists in 2015. In more than 30 randomized-controlled studies, HelloBetter has developed and evaluated 10 online programs from eight specific problem areas in cooperation with Leuphana University, Friedrich-Alexander University Erlangen-Nuremberg, the Free University of Amsterdam, Harvard University and other partners. These programs serve both the prevention and treatment of classic mental illnesses such as depression, anxiety or panic disorders, but also cover topics such as vaginismus or chronic pain. This gives HelloBetter the broadest study base of all providers. 

In the meantime, six therapy programs from HelloBetter have been approved by the German Federal Institute for Drugs and Medical Devices (BfArM) as digital health applications and are available free of charge on prescription for all adults with health insurance in Germany. The work of the expert team has been published in international journals (including The Journal of the American Medical Association) and recognized with various awards (including, Wilhelm Exner Award in Psychology 2016, EFPA Comenius Award 2017, Digital Health Award 2018, EU Compass Good Practice 2018 in Mental Health). 

The company is based in Berlin and Hamburg and employs more than 130 people.

For more information, check our HelloBetter Handbook.



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30May

Applied Scientist at Dialpad – Vancouver, Canada


About Dialpad

Work Beautifully

Dialpad is the leading Ai-Powered Customer Intelligence Platform that is transforming how the world works together. Based on 4 billion minutes of analyzed voice and meetings data and growing, we have designed one, beautiful workspace that seamlessly combines the most advanced Ai Contact Center, Ai Sales, Ai Voice, and Ai Meetings with Ai Messaging. More than 30,000 innovative brands and millions of people use Dialpad to unlock productivity, collaboration, and customer satisfaction with real-time Ai insights. With initial funding and leadership from Google and leading venture capitalists such as ICONIQ and Andreessen Horowitz, Dialpad has over $200M in ARR and is one of the fastest growing Ai companies in the world.

About the team

Our NLP team at Dialpad is a diverse and vibrant group of scientists who come from varied fields such as linguistics, computational linguistics, machine learning, computer science, material science, biology, and quantum physics. We prioritize innovation and creativity in our pursuit to push the boundaries of Natural Language Processing and Artificial Intelligence.

We deliver natural language understanding (NLU) features for transcribed speech and typed inputs. The major focus of the team currently is enhancing DialpadGPT, our in-house LLM specifically designed for the domain of business communication and delivering features that use DialpadGPT. Beyond the technical skills, we’re a team that values collaboration, continuous learning, and the application of diverse perspectives to solve complex problems.

Together, our goal is to revolutionize business communications, making it more efficient, accurate, and accessible through the power of ASR, NLP and machine learning. Using a variety of tools and technologies we’re driven to continuously improve and refine our products, delivering top-tier solutions to our customers. 

Your role

As an Applied Scientist at Dialpad, you’ll be an integral part of our NLP team, working on our in-house LLM, DialpadGPT and other LLMs as we extend our NLP functionality to other languages (French, Italian, German, Spanish, and Dutch). You’ll be involved in all stages of model development, from conceptualization to deployment, focusing on enhancing language understanding in business communications. Collaboration will be key as you work alongside our engineering, design, and product teams to build ground-breaking applications.

If you’re passionate about language, AI, and contributing to a team that’s changing the face of business communications, you’ll find yourself right at home with us.

This position reports to the Manager of the NLP team and has the opportunity to be based in our Vancouver Office or work remotely from anywhere in Canada or the US. 

What you’ll do

  • Develop, implement, and refine state-of-the-art Natural Language Processing and Machine Learning algorithms for Dialpad’s products.
  • Conduct rigorous evaluation and monitoring of model performances and troubleshoot issues with a keen understanding of resultant business impacts.
  • Collaborate with cross-functional teams, including engineering, product, and design, to effectively deploy and scale models and algorithms in production.
  • Contribute to the development of DialpadGPT ensuring high accuracy, cost-effectiveness, and optimal performance in serving at scale.
  • Submit papers to top-tier academic conferences and journals and contribute to the broader scientific community by reviewing submissions.
  • Capitalize on your interest in languages to extend our coverage to other languages – Spanish, French, Japanese etc. and to optimize models for other varieties of English.

Skills you’ll bring 

  • Master’s or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine Learning, or related fields.
  • Demonstrated experience with machine learning, Python, Pytorch and other relevant tools and technologies.
  • A broad understanding of current LLM model architectures and techniques for tuning and optimizing LLMs.
  • Knowledge of one or more of the languages we’ll be adding: French, Italian, German, Spanish, or Dutch.
  • Strong problem solving and analytical abilities, with the capacity to handle complex technical and analytical problems.
  • Excellent communication and collaboration skills to effectively work in a multi-disciplinary team.
  • Familiarity with version control tools like Git for collaborative projects.

Dialpad benefits and perks

Benefits, time-off, and wellness

An apple a day keeps the doctor away—and it doesn’t hurt that we offer flexible time off and great options for medical, dental, and vision plans for all employees. Along with that, employees also receive a monthly stipend to help cover your cell phone bill, home internet bill, and we reimburse for gym membership costs, a variety of wellness events, and more!

Professional development

Dialpad offers reimbursement for expenses related to professional development, up to an annual limit per calendar year.

For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.

British Columbia, Canada Salary Range$148,700—$173,233 CAD

Culture
We’ve been named a Top Workplace seven times, and a big part of this is because of our collaborative culture that elevates our teammates, celebrates wins, and brings together passion and talent. 

Compensation and equity
Teamwork makes the dream work, and Dialpad offers competitive salaries in addition to stock options because each and every Dialer participates in our success.

Diversity, Equity, and Inclusion (DEI) at Dialpad

At Dialpad, we are passionate about Doing the Right Thing. This means we are committed to building a values-driven culture that celebrates identity, inclusion and belonging. As a global company, it’s our responsibility to come together to create a culture where all Dialers can Work BeautifullyDelight Our Users, and Innovate Continuously to bring our world-class product to life. 

Every Voice Matters at Dialpad. We build community through our Employee Resource Groups, company-wide celebrations, service days, and a robust internal learning & development program focused on the success of our Dialers.

Don’t meet every single requirement? Studies have shown that women and marginalized groups are less likely to apply to jobs unless they meet every single qualification. At Dialpad we are dedicated to building an inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.



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29May

Principal Research Engineer – Materials at GKN Aerospace – Westlake, TX, US


Fantastic challenges. Amazing opportunities.

 

GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, we’re inspired by the opportunities to innovate and break boundaries. We’re proud to play a part in protecting the world’s democracies. And we’re committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees across 33 manufacturing sites in 12 countries we serve over 90% of the world’s aircraft and engine manufacturers and achieved sales of £3.35 bn.in 2023. There are no limits to where you can take your career.

Job Summary

As a Principal Research Engineer, you will work in cross-discipline teams to develop differentiating additive manufacturing (AM) technology for aerospace structural applications. Your everyday tasks will be to work within GKN Aerospace’s US Global Technology Center team on development of Laser Wire Directed Energy Deposition (DED) AM. You will take on a wide range of tasks focused on AM material characterization, non-destructive inspection methods, process improvement, and qualification of manufacturing processes while working in collaboration with technology engineers with expertise in controls, process development, post processing, and industrialization of aerospace technologies.
You will support development, integration and implement technical solutions and documentation compliant with all relevant customer, regulatory, and airworthiness requirements, within agreed program, schedule, and manufacturing constraints. 
 

Job Responsibilities

  • Support AM process development by researching and executing experiments to develop and characterize titanium as well as other aerospace metallic materials for laser wire directed energy deposition.
  • Lead development of non-destructive evaluation methods of additively produced material that meet aerospace requirements for qualification and certification of flight hardware
  • Research opportunities for novel methods of new in in situ sensors and analysis methods to improve process and resulting materials as well as predictability and reliability of material properties
  • Engage with Aerospace OEM customers technical experts and airworthiness authorities in additive and metallic structure to develop technical requirements and project plans for application of additively manufacture components into aircraft programs
  • Support Technology Readiness Assessments towards technology maturation into production
  • Stay current with related technical activity within GKN’s global technology team (and through related technology organizations) & ensure effective exchange of results and issues 
  • Develop, implement, and check technical solutions and documentation to ensure they are compliant with all relevant customer, regulatory, and airworthiness requirements, within agreed program, schedule, and manufacturing constraints
  • Identify technical problems and apply/integrate solutions
  • Support technical and customer reviews, including the creation and preparation of technical data and presentations
  • Perform all activities with limited supervision and support other engineers with peer-to-peer reviews
  • Identify, manage and mitigate risks for assigned work

Job Qualifications

Master of Science degree in Engineering or related technical field

  • 7+ years of relevant experience, or substitute for advanced degrees
  • Must be able to perform work subject to ITAR regulations and/or program requirements.
  • Experience with CAD and other engineering software
  • Experience with additively manufactured metallic materials
  • Experience in Non-Destructive Evaluation methods for metallic materials

 

Preferred Qualifications

  • PhD in a relevant field 
  • Aerospace industry experience
  • Experience with new product development
  • Experience with aerospace materials including titanium alloys 
  • Knowledge of manufacturing processes data related to traditional and additive manufacturing including machining, heat treatment, and inspection
  • Proven ability to review technical documentation
  • Excellent in co-operation, networking, team-working
  • Experience creating and maintaining databases
  • Statistical and data analysis capabilities 
  • Able to analyze and interpret customer requirements.
  • Able to maintain and report on a budget for assigned activities.
  • Worked in cross-functional teams

We’ll offer you fantastic challenges and amazing opportunities. This is your chance to be part of an organisation that has proven itself to be at the cutting edge of our industry; and is committed to pushing the boundaries even further.  And with some of the best training on offer in the industry, who knows how far you can go?

 

A Great Place to work needs a Great Way of Working

 

Everyone is welcome to apply to GKN.  We believe that we can only achieve our ambitions through a coming together of diverse minds who enjoy collaborating in an inspirational environment. Through our commitment to diversity, inclusion and belonging and by living our five powerful principles we’ve created a culture where everyone feels welcome to contribute.  It’s a culture that won us ‘The Best Workplace Culture Award’.  By embracing and celebrating what makes us unique we encourage everyone to bring their full self to work.

We’re also committed to providing an accessible recruitment process, so if you require reasonable adjustments at any stage during our recruitment process please get in touch and let us know.

We are the place where human dreams, plus human endeavour, shape the future of aerospace innovation and technology. ​



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29May

ETL Automation tester – Assistant Manager at State Street – Hyderabad, India


Role Summary & Role Description

As a QA lead, He/she should would be a team player that can perform end to end testing.  This candidate should have a strong understanding of the SDLC and defect life cycle.  The candidate would be able  to perform analysis of requirements, document a test plan, write and execute manual and automated test cases, and analyze test results.

  • Expected to perform manual and ETL testing in validating data sources, extraction of data, applying transformation logic, and loading data into target tables, working closely with data engineering functions to ensure a sustainable test approach.
  • 5+ years’ experience in ETL, DWH, Functional & Manual testing.
  • Well versed with all stages of Software Development Life Cycle (SDLC) and Software Test Life Cycle (STLC).
  • Experience in SQL scripting
  • Create ETL Test data for all ETL mapping rules to test the functionality of the logic.
  • Experience in creating Test Readiness Review(TRR) and Requirement Traceability Matrix (RTM) documents
  • Experience in preparing the Test plan, Detailed Test cases, writing Test Scripts by decomposing Business Requirements and developing Test Scenarios to support quality deliverables.
  • Responsible for checking the accuracy and completeness of the ETL process. They authenticate the data sources, check the precision of data extraction, apply the transformation logic, and load data in the data warehouse.
  • Participate in meetings with business on requirements and functional specifications reviews early in the software development life cycle process. 
  • Execute software testing to include functional testing, system testing, regression testing, and, security and performance testing. 
  • Ensure adherence with all State Street SDLC tollgate requirements for SQA ensuring all  proper procedures and controls are in place throughout the software testing process
  • Analyze business requirements, Agile stories and acceptance criteria and technical specifications provided
  • Define test plans and design/execute functional, integration and regression test cases
  • Capture and save test backup documentation
  • Report and track defects/bugs
  • Work with Agile team members to research and resolve issues/impediments utilizing proven problem-solving skills

Core/Must have skills

  • Strong experience in SQL\ETL\DB testing.
  • Understanding of Data ware house, Data Migration, ETL concepts
  • Knowledge in UNIX.
  • Understanding of Test case design, Test data preparation, Test execution, Data validation and Evidence capturing.
  • Understanding of Quality Assurance procedure
  • Understanding of project end to end process.
  • Proficiency in Jira and XRAY test management tool is preferable
  • Experience in Capital markets is preferable
  • Experience in Financial investment banking services is preferable.
  • Strong interpersonal communication skills, both written and verbal
  • Strong ability to review and understand complex concepts at a detailed level
  • Ability to multi-task and to take the initiative when needed
  • Ability to work independently as well as within a team setting
  • Ability to foster and maintain strong relationships with all partners in the Software Development Lifecycle such as business and development.

Running Automation scripts is a plus but not mandatory

Why this role is important to us

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

About State Street

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

Discover more at StateStreet.com/careers



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29May

Applied Scientist I at Qualtrics – Krakow, Poland


At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the microphone and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that’s work worth doing.
 

 
Applied Scientist I
 
Why We Have This Role
 
We are looking for Applied Scientist I to bring our Machine Learning and Artificial Intelligence R&D and strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.
 
How You’ll Find Success
 
As Applied Scientist I at Qualtrics, you should love building simple solutions to solve hard customer problems. Crafting systems in an Agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!
 
How You’ll Grow
 
Qualtrics is a fast paced, dynamic environment where you will have the opportunity to build on and expand your experience through working on high impact projects, utilising cutting edge tools and technologies, troubleshooting challenging problems and working alongside like minded and driven technical professionals.
 
Things You’ll Do

  • Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business
  • Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community
  • Work closely with, and incorporate feedback from other specialists, engineers, and product managers
  • Lead and engage in design reviews, modelling discussions, requirement definitions and other technical activities in diverse capacity
  • Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers

What We’re Looking For On Your Resume

  • Master’s or other advanced degrees in Mathematics, Computer Science, or Engineering with experience in at least one of the following fields:
    • Natural language processing: text labeling and classification, text understanding, question answering, dialogue systems, entity extraction and reasoning, knowledge graph, etc.
    • Time series modelling: forecasting, anomaly detection
    • Machine learning: deep learning, distributed machine learning, large-scale optimization, Bayesian probabilistic inference
    • Data mining: information extraction, recommender systems, knowledge/pattern discovery, anomaly/churn detection
    • Computer vision: image classification, object detection, segmentation
  • Experience with ML and  deep learning frameworks  (e.g. TensorFlow, PyTorch, MXNet, Scikit-Learn, etc.)
  • Excellent communication, writing, and presentation skills

 
What You Should Know About This Team
 
The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. This team builds core machine learning infrastructure and services.
 
Our Team’s Favorite Perks and Benefits

  • Annual Leave: 20 or 26 annual leave days per annum plus an additional day for each year of service (to a max of 5).
  • Private Medical Insurance – Luxmed health & dental cover for you and your dependants.
  • Commuter Assistance – Up to the value of 80 PLN net a month for public transport.
  • Savings Plan – Two company saving plans provided by Nationale Nederlanden: Employee Capital Plan (PPK) & Employee Saving Plan (PPO)
  • QED PROGRAM – Qualtrics Engineer Development (QED) program: support, engineering learning activities up to 10% of engineering work time each quarter.
  • Wellness – Up to the value of 800PLN gross per quarter can be reimbursed for a variety of wellness activities via our dedicated platform Forma.
  • A choice of Multispot cards available.
  • Our employee assistance program with Unum provides counselling and wellbeing support to all employees
  • Experience bonus – 7000 PLN gross per annum. Qualtrics experience bonus is a program designed to provide experiences to our employees they might not otherwise have.
  • Group Life & Income Protection Insurance
  • Glasses/Contact lenses Reimbursement
  • Free breakfasts, lunches, snacks, and drinks for everyone in the office
  • Tax-deductible expenses (up to 75% depending on role)

 

The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.
 
Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.
 
​​​​​​​Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act
Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.
 
Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics – upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam – we promise! You’ll hear from us two times a month max with fresh, totally tailored info – so be sure to stay connected as you explore your best role and company fit.



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29May

Manager, Business Intelligence at Revlon – New York City, United States


At Revlon, we create beauty innovations for everyone that inspire confidence and ignite joy every day.

Breaking beauty boundaries is in our company’s DNA. Since its game-changing launch of the first opaque nail enamel in 1932 (and later, the first long-wear foundation), Revlon has provided consumers with high-quality product innovation, performance, and sophisticated glamour. Elizabeth Arden made waves as a woman-led beauty company in the 1920s. In 1931, Almay became the original hypoallergenic, fragrance-free beauty brand.

Today, Revlon resiliently continues its legacy as a leading global beauty company. Our diverse portfolio—which consists of some of the world’s most iconic brands and product offerings in color cosmetics, skin care, hair color & care, personal care, and fragrances—is sold around the world through prestige, professional, mass, and direct-to-consumer retail channels. These brands include Revlon, Revlon Professional, Elizabeth Arden, Almay, American Crew, CND, Cutex, Mitchum, Sinful Colors, Creme of Nature, Britney Spears, Christina Aguilera, John Varvatos, Juicy Couture, Ed Hardy and more.

We honor our heritage, embrace change, and applaud diversity. We champion our employees and celebrate our consumers.

We are Revlon, together, transforming beauty.


Revlon’s growing Analytics, Insights, & Business Intelligence team has an opening for a deeply curious and self-motivated Manager, Business Intelligence. The Manager, Business Intelligence will play a crucial role in supporting the North America brand strategy and commercial planning. This role involves collaborating with marketing and sales leaders across all Revlon brands and channels, assisting with forecasting, and evaluating the sales potential for new products and category entries.

We want you to take initiative, think strategically, and foster intellectual curiosity throughout the team and organization. This role is This role reports to the Director of Business Intelligence and will be on-site (NYC) 3 days a week (remote Mondays and Fridays).

Job Responsibilities

 

  • Anticipate business and research needs resourcefully, understanding both the big picture and the nuances of the business.
  • Turn data into actionable insights, cutting through data clutter to deliver unique insights that drive our growth agenda.
  • Work closely with the Director, Business Intelligence on special projects & ad-hoc analyses for the Executive Leadership Team & President of North America.
  • Work with cross-functional stakeholders across all Revlon brands.
  • Integrate data from multiple sources (primary, secondary, and syndicated) to drive ideation of brand strategy and executional tactics.
  • Collaborate with Insights and Marketing teams to identify target consumers, brainstorm consumer-focused strategic tactics, and develop KPIs to measure success.
  • Partner with cross-functional leaders to support the development of 3-year strategic business plans, ensuring alignment with overall company objectives and market dynamics.
  • Support the development of materials for key meetings and milestones (Board Meetings, Customer Meetings, Budget, Strategic Planning).
  • Analyze market trends and consumer insights to size sales potential and identify opportunities for new product launches, category entry, and strategic distribution.
  • Drive key components of the forecasting process to ensure accurate sales predictions.


Experience:

  • 3-5 years of experience in management consulting, strategic planning, brand management, or related roles, ideally within the beauty or consumer goods industry.
  • Strong analytical skills with the ability to interpret data and provide actionable insights.
  • Advanced proficiency in Microsoft Excel, with experience in data modeling and visualization.
  • Advanced proficiency in Microsoft PowerPoint, with powerful and concise storytelling abilities.
  • Self-motivated, hard-working, and strategic thinker with strong time management skills and the ability to prioritize competing deadlines. Ability to work in a fast-paced, collaborative environment to drive brand and financial goals.
  • Powerful storytelling and influence skills, with the ability to work effectively with cross-functional teams and stakeholders.
  • Working knowledge of Circana data sets (highly preferred)
  • Strong passion and interest in the beauty industry, with demonstrated enthusiasm for staying up to date on news, social media, and influencer trends across key categories (highly preferred)
  • Current authorization to work in the United States on a full-time basis

Education:

  • Bachelor’s degree required

#LI-TF1

The base pay range for this position in New York City is $93,000 and $115,000/year however base pay offered may vary depending on skills, experience, job-related knowledge, and location.  Certain positions may also be eligible for short and/or long-term incentives as part of total compensation

Employees (and their families) are eligible for medical, dental, and vision benefits. Employees are covered by the company-paid basic life insurance policy. Other benefits offered to employees include but are not limited to the following: long-term disability, supplemental life insurances, flexible spending accounts, critical illness insurance, group legal, identity theft protection, etc. Employees are also able to enroll in our 401k Retirement Savings Plan.

Employees are also enrolled in our company-paid short-term disability insurance (the benefit commences upon hire and allows for a portion of base salary for up to 26 weeks if you are disabled).

Employees will also receive 3 weeks of vacation, pro-rated based on date of hire for the 1st year of employment and twelve paid holidays throughout the calendar year.

This role is eligible for an annual bonus based on company performance.



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