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Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. DataRobot's Applied Data Science Associate program (ADSA) is designed to provide qualified individuals with the training and experience necessary to become a Customer Facing Data Scientist in approximately 6 months. This intense program is for the self-motivated and intellectually curious excited to tackle our prospects and customers toughest problems using AI/ML and GenAI. The program will offer you opportunities to learn from the world's foremost experts in AI and apply your new found knowledge in the frontier of AI. Past graduates of this program have delivered novel applications of AI in businesses across the world and lead some of our most strategic customer engagements. Many graduates of the program now have leadership positions within DataRobot. During the training program, participants will have structured learning paired with mentoring opportunities to work with customer success teams. Participants will be expected to contribute to customer success by assisting account teams and learning the best practices in selling to customers or keeping existing customers successful with the platform. The ADSA program is centered around the Data Scientist Competencies. These are the competencies that must be developed and mastered to become a successful Data Scientist. There are 4 core competencies: Data Science (including GenAI), Product Knowledge, Sales and Solution Delivery. This position is focused on supporting DataRobot's US Federal customer base, especially military customers, in a wide variety of AI use cases. Upon program completion you will support DataRobot Federal customers as a Customer Facing Data Scientist contributing to end-to-end AI project implementation using the DataRobot platform. This will include data preparation, model building (predictive and generative), application development, and stakeholder engagement. Key Responsibilities: Successfully conduct a 6 month structured and independent training program in order to independently support customer engagements after completion Provide DataRobot platform and data science support to clients through the duration of client engagement from presales through their times as a customer Enable customers to solve complex data science problems using DataRobot, through both direct execution and education of customers - including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption Foster an environment of autonomy where everyone is encouraged to identify and prioritize customer problems and opportunities. Influence our customers through thought leadership by using value-based messaging to translate complex technical terms into mission outcomes Work side by side with our sales, success and engineering teams to help our customers achieve their goals. Identify opportunities to expand our relationship with customers. Act internally as the voice of the customer to the Product, and Engineering, informing the direction of future product feature development Assist in developing the implementation of a Joint Success Plan (JSP) delivering services to support customers in their AI journey. Knowledge, Skills & Abilities: Bachelor's degree in a technical field - physical sciences, engineering, computer science, statistics, economics or business analytics 3+ years of building and implementing analytics solutions for stakeholders You have excellent communication and strong customer interaction skills Excellent project management and organizational abilities Fluency with scripting in Python Professional experience building data pipelines and/or performing data preparation tasks Work location will be a hybrid of remote and on a customer site (greater Washington DC area) You may be asked to travel for customer meetings or other events Nice to have: Advanced degree Experience with supporting US Federal government organizations, especially the DoD or IC Experience with distributed/parallelized data computation Experience with geospatial data manipulation and visualization Exposure to AI/ML modeling techniques and framing data science projects for success Familiarity with consultative sales process in the data/analytics marketplace Familiarity with data platform technology integrations Experience dealing with complex customer organizations Proficiency in additional programming languages (e.g. Java, Scala, JavaScript) Citizenship and Clearance Requirements: Must be a US citizen. Must have an active Secret or Top Secret/SCI clearance The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

Job Title: Senior Manager, Data Science and Economics Requisition ID: R026276 Job Description: Job Title: Sr. Manager, Data Science and Economics Reporting To: Director, Mobile Analytics Department: Global Analytics Location: Santa Monica, CA (Hybrid, in office- 3 days/ week) Your Mission is: We are looking for a talented Data Science Manager to join our Mobile Analytics team. The team's goal is to put science into product and marketing decisions and help to make a better game for both players and the company. Your product of focus is Call of Duty Mobile, one of the top mobile shooters on the market with over 10M global daily active users. You will be the technical leader for the data science and economics discipline, with a strong supporting team. First year responsibilities include: Partner with various product stakeholders to develop novel data science insights and solutions that directly impact feature roadmap, player retention and acquisition strategy, and economy Act as the thought leader for data scientists on the team, holding the team to a high technical standard Help the team to expand technical depth on areas including, but not limited to, experimentation, causal inference, and econometrics Identify new opportunities in applying data science into product decisions and in-game economy policies, with an eye on evolving the team's long-term competence Help define the group's data science and economics roadmap and resource plans Player Profile The ability to communicate complex results to a wide variety of stakeholders Team and impact oriented, ability to build collaborative relationships effectively that leads to actionable solutions for the business Eager to lend your expertise in every data and analytic conversation and be an advocate for data science in gaming Expertise in econometrics, statistical inference, experimentation design and analysis Experience in developing Machine Learning models and/or optimization models a plus Proficient at performing analyses using R, Python, or similar tools Working knowledge of SQL, bonus for experience with big data tools and stacks Advanced degree with a technical focus; PhD a plus 10+ years of combined industry and research experience, with a minimum of 3 years in industry preferred. Our World At Activision, we strive to create the most iconic brands in gaming and entertainment. We're driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty, Crash Bandicoot, Tony Hawk's Pro Skater, and Guitar Hero. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our "press start" is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences. We're not just looking back at our decades-long legacy; we're forging ahead to keep advancing gameplay with some of the most popular titles and sophisticated technology in the world. We have bold ambitions to create the most inclusive company as we know our success comes from the passionate, creative, and diverse teams within our organization. We're in the business of delivering fun and unforgettable entertainment for our player community to enjoy. And our future opportunities have never been greater - this could be your opportunity to level up. Ready to Activate Your Future? We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting https://www.benefitsforeveryworld.com/ . In the U.S., the standard base pay range for this role is $134,320.00 - $248,404.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours We are looking for a Lead Data Science Engineer to join our Daily Fantasy Sports reinvestment team, where we focus on understanding and optimizing how players engage with our DFS products over time. As a Lead Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions. What you'll do as a Lead Data Science Engineer Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Sportsbook product engagement. Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. Mentor junior data scientists and share modeling and engineering best practices across the team. Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What you'll bring Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. Experience leading and coaching other data scientists Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. Ability to structure and execute data science projects and deliver business value through production-ready models. Excellent communication and collaboration skills to work effectively across technical and non-technical teams. A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 140,800.00 USD - 176,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. 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 pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Data Science Graduate This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Education and Experience Required: Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent. Typically 0-2 years experience. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #grads Job: Engineering Job Level: TCP_01 States with Pay Range Requirement The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html . USD Annual Salary: $60,800.00 - $181,200.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data. We're looking for a Manager, Data Science, Ads Ranking to join Snap Inc. What you'll do Lead a team of data scientists focused on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience Help build and manage a team of high performing data scientists and help them execute along the most important priorities and deliver world-class products Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best Work cross-functionally and partner with product managers, engineers, and researchers to to develop data-driven strategies that shape product direction Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate what it all means Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement Define and drive the data science roadmap for ad ranking, including model development, experimentation, actionable insights and measurement framework Build scalable methodologies for experimentation and causal inference to assess the impact of ranking changes and new product features Translate complex technical findings into actionable insights and strategic recommendations for leadership and cross-functional stakeholders Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team Knowledge, Skills, Abilities: Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing and ad load Understanding of statistical analysis, experience with packages, such as R, MATLAB, Stata, etc. Working knowledge of predictive modeling, machine learning, and experimentation/ causal inference methods Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management Expertise in SQL and familiarity with Python Excellent communication skills, with high attention to detail Ability to initiate and drive projects to completion with minimal guidance Ability to balance practical business needs and scientific rigor Industrial knowledge in ad ranking or recommendation systems Minimum Requirements BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience 7+ years of experience in quantitative analysis & data science or a related field 3+ years experience in a leadership role within a data organization Preferred qualifications Advanced degree in a quantitative field (Economics, Computer Science, Physics) Experience forming partnerships with cross-functional leaders in engineering, product, design, research, etc. Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance. Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company If you have a disability or special need that requires accommodation, please don't be shy and provide us some information. "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC): The base salary range for this position is $229,000-$343,000 annually. Zone B: The base salary range for this position is $218,000-$326,000 annually. Zone C: The base salary range for this position is $195,000-$292,000 annually. This position is eligible for equity in the form of RSUs.

Director Data Science This role is to be based near one of our office in Los Angeles, New York City, Austin or Oakland. About us: We drive intelligent growth for ambitious businesses and leading brands. Customer understanding is more potent and drives greater value when insights go to work directly within marketing and experience priorities. To give our clients that advantage, we put an insights-driven operating system at the core of our design, go-to-market and digital experience solutions. Material clients make smarter growth choices because they can see clearly how and when to take the shots that count. Together, we connect consumer intelligence with customer demand generation to build lasting, profitable relationships. About the Role We are looking for a Director of Data Science to drive delivery and innovation across our analytics function. This role blends hands-on technical expertise, consulting, and leadership in problem-solving and toolkit development. You will own project delivery, create scalable solutions, and innovate to drive measurable business value. We're looking for a curious, growth-minded statistical modeler that blends statistical rigor and the ability to collaborate with technical and non-technical clients. Responsibilities Lead and execute delivery of diverse analytics projects (marketing mix modeling, financial linkage, database scoring, segmentation, passive metering). Build and interpret statistical models / machine learning models. Structure complex problems, design frameworks, and deliver insights through compelling storytelling. Lead innovation initiatives, including internal packages, cross-functional toolkits, and new modeling approaches. Partner with leadership and client teams as a subject matter expert to align analytics with sales opportunities and client business objectives. Uphold high standards for analytics, delivery, and innovation. Qualifications 5+ years experience building statistical models Education in statistics, mathematics, engineering, computer science. Excellent communication skills to translate data into business impact. Expertise in R, Python, and SQL Proven ability to deliver impactful analytics in a client or business-facing environment. Strong structured thinking, problem-solving, and prioritization skills. Curiosity, creativity, and growth mindset. Why work for Material? Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare. Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients. A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in our clients' lives and their customers' lives. Pay Range: $130,000.00 - $160,000.00 The range shown represents a grouping of relevant ranges currently in use at Material. Actual range for this position may differ, depending on location and specific skillset required for the work itself. Equal Employment Opportunity All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law. Privacy Statement Material is committed to protecting privacy in our recruiting processes for all candidates. For more information, please refer to our Privacy Policy. California-resident applicants should also refer to our California-resident Candidate Privacy Statement. If you need support with a privacy-related matter, please send an email to: privacyrequests@materialplus.io

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. They should have experience bringing new ML models to the market as part of an online platform. They should be comfortable leading a technical team, working with product and executive stakeholders with excellent communication and stakeholder management skills - particularly when bridging technical and non-technical audiences. We have a lot of ideas on how we can improve these systems. We need help connecting these ideas to business metrics, prioritizing them with input from stakeholders into a roadmap, executing efficiently from research to bringing ML models to market, and providing proactive communication on the vision/direction and status of the work. Responsibilities: Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership Incorporate internal and external feedback to iterate and evolve ML models Practice outcome-oriented/KPI-driven team management: Define metrics that lead to business goals and report on the outcomes of your efforts Lead complex, cross-team projects to deliver on our product & ML strategy, with a singular focus on driving business results Play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers. Responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations Monitor machine learning models and AI performance and troubleshoot issues as they arise Contribute to the documentation and knowledge base to help other teams understand and use Xometry's AI effectively Qualifications 8+ years experience developing and implementing machine learning algorithms, ideally within an online marketplace Excellent understanding of scalable architectures and thrive working in Agile environments Recognized expertise in the areas of marketplace optimization and pricing theory Ability to apply and implement research concepts, ultimately in production quality code Experience defining clear, testable research hypotheses, including intended impact on the business Deep knowledge of design of experiments, online experimentation approaches at scale Ability to formulate and advocate for R&D objectives and results to multi-functional team members including executive business leadership and product management Experience with your machine learning models running in a real production environment Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development and putting models into production Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse PhD in a quantitative field (or BS/MS with equivalent work experience) Mission-driven, positive attitude, and ability to motivate others Must be a US citizen, green card holder, or a legal permanent resident of the United States #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description As a Gilead intern you will contribute to high-impact meaningful projects that will not only further advance our company's mission but will allow you to gain real world experience at one of the most innovative organizations in the world. You will also have opportunities to participate in special events including professional development and leadership presentations, social/network building activities and local community volunteer programs. Key Responsibilities will include, but are not limited to the following: Assist in maintaining and enhancing backend code for document processing Help develop FastAPI endpoints for document upload and analysis Support integration of AWS services (e.g., Textract, S3) into workflows Collaborate on prompt engineering for AI models to improve output quality Participate in debugging and testing backend services Contribute to writing unit tests and improving code reliability Learn and apply best practices in cloud-native architecture and API design Showcase your work with a final presentation (PPT) near the conclusion of your internship Required Qualifications: Must be at least 18 years old Must have a minimum GPA of 2.8 Authorized to work in the United States without Sponsorship now or in the future or CPT/OPT through your University. Must be currently enrolled as a full-time student in a Bachelor's/Masters/MBA/PhD program at an accredited US based university or college Must be a Rising Sophomore, Junior, or Senior in undergrad or a Graduate or Doctoral Student Must be enrolled full-time in the Fall Semester at an accredited university/college after the completion of the internship Must be able to complete a 10-12 consecutive week internship between May and August Must be able to relocate if necessary and work at the designated site for the duration of the internship Preferred Qualifications: Preferred Degree qualification: Undergrad / Masters Proficiency with MS Office Suite Ability to identify issues and seek solutions Ability to work both independently and collaboratively Demonstrated commitment to inclusion and diversity in the workplace Efficient, organized, and able to handle short timelines in a fast-paced environment Gilead Core Values: Integrity (Doing What's Right) Inclusion (Encouraging Diversity) Teamwork (Working Together) Excellence (Being Your Best) Accountability (Taking Personal Responsibility) The expected hourly range for this position is $19.00 - $55.00. Gilead considers a variety of factors when determining base compensation, including education level and geographic location. These considerations mean actual compensation will vary. Benefits include paid company holidays, sick time, and housing stipends for eligible employees. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Key Responsibilities Set the Vision: Define the strategic direction for data science across Goosehead, ensuring alignment with enterprise goals and long-term AI ambitions. Leadership and Team Development: Build, mentor, and scale a high-performing team of data scientists while fostering a culture of technical rigor, creativity, and impact. Strategic Partnership: Act as a trusted advisor to senior executives and business leaders, translating complex challenges into actionable AI strategies. Applied Machine Learning: Oversee the design, development, and deployment of ML systems driving automation, personalization, and operational efficiency. Methodology and Innovation: Advance the organization's analytical frameworks, experimentation design, and causal inference capabilities. Operational Excellence: Establish best practices for MLOps, model lifecycle management, governance, and responsible AI. Collaboration with Engineering: Partner with the Director of AI Infrastructure and Data Architecture to ensure seamless integration between data science models and underlying data and ML platforms. Measurement and Storytelling: Define success metrics for AI initiatives and communicate outcomes clearly to executive and non-technical audiences. Technology Leadership: Stay at the forefront of AI and ML research, bringing emerging technologies such as LLMs, generative AI, and reinforcement learning into practical business use cases. Experience and Qualifications 10+ years of experience in data science or machine learning, including at least 3 years in a leadership capacity managing teams and enterprise-level initiatives. Proven track record of developing and deploying ML models that drive measurable business value. Deep proficiency in Python and modern ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch, with strong SQL skills. Expertise in model development, feature engineering, and experimentation across structured and unstructured data. Strong understanding of MLOps principles, CI/CD for ML, and cloud-native architectures such as Azure, Databricks, and Snowflake. Experience designing and operationalizing responsible AI frameworks, including governance, fairness, and interpretability. Exceptional ability to communicate complex technical concepts to senior stakeholders in clear, business-relevant terms. Demonstrated success building cross-functional relationships across engineering, analytics, and business domains. Preferred Qualifications Advanced degree (MS or PhD) in Computer Science, Statistics, Applied Mathematics, or a related quantitative field. Experience with large-scale experimentation, causal inference, or reinforcement learning. Familiarity with LLMs, RAG pipelines, and prompt engineering for applied business use. Background in insurance, financial services, or other regulated industries. Experience building and scaling AI functions or centers of excellence within a growing enterprise.

Site: The Brigham and Women's Hospital, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary Ariadne Labs is a joint center for health systems innovation at Brigham and Women's Hospital and the Harvard T. H. Chan School of Public Health. Our goal is to drive scalable solutions for better care at critical moments in people's lives everywhere. Better care means better health outcomes, lower costs, and more actual caring. Critical means solving health systems failures that have major impact, typically touching people by the millions. The Science and Technology Platform provides subject matter expertise in three scientific disciplines: Computer science, data science, and implementation and improvement science. The Platform collaborates with teams across the Lab to deliver technology solutions and ensure projects meet high standards for scientific rigor. Under the supervision of the platform manager, the data analyst will lead data analysis and coordination activities for a multi-state public health research project evaluating the integration of genomic sequencing into newborn screening programs, as well as contribute to other ongoing Lab projects. This includes developing and maintaining REDCap data systems, coordinating with study partners, applying advanced programming skills to manage and clean complex datasets, and conducting analyses in collaboration with research teams. Ideal candidates will have strong experience working with quantitative data and an interest in applying their skill set to help solve health systems problems, particularly around the integration and use of genomics in healthcare. This is an excellent opportunity to apply and strengthen skills in data analysis, quantitative methods, and health systems research with flexibility to grow as a technologist, data scientist, researcher, and designer. We are looking for individuals who embrace complex challenges and bring creativity and energy to solving them. Qualifications Principal Duties and Responsibilities Serve as the lead data analyst for a large, NIH-funded, multi-site feasibility study examining implementation of genomic newborn screening within existing state public health programs, spanning ~14 implementation sites, ~7 public health laboratories, and up to 30,000 newborns. Design, build, and maintain secure and scalable REDCap databases and data systems to manage complex, multi-source data streams. Coordinate with study partners and remote teams to design, implement, and maintain robust data systems that support the setup and ongoing operations of the study. Ensure data completeness, consistency, and integrity across multiple sites by developing and automating data quality checks and monitoring reports. Apply advanced programming techniques to clean and transform raw data into usable formats for analysis and reporting. Develop dashboards, reports, and visualisations to communicate findings to technical and non-technical stakeholders. Conduct exploratory and statistical analyses to identify trends, patterns, and correlations. Collaborate on other projects across Ariadne Labs by contributing to data-related activities as needed, including data collection, integration, cleaning, analysis, and visualization. Partner with cross-functional teams to scope requirements, design solutions, and support execution toward shared goals. Develop collegial relationships with collaborators, program leaders, and internal and external stakeholders. Required Qualifications and Skills A cover letter is required. Shortlisted candidates will be invited to complete a brief analysis exercise as part of the selection process. BA/BS required - preferably in Statistics, Data Science, Economics, Computer Science, Public Health, or a related field. 3-5 years of experience managing and analyzing complex health research datasets, preferably in multi-site clinical or public health studies. Expertise in REDCap, including project design, longitudinal data capture, data quality checks, and complex workflows Strong critical thinking skills and exceptional attention to detail Expertise in an analytical programming language (R or Python), with the ability to independently design, optimize, and troubleshoot complex data workflows Strong grasp of descriptive and inferential statistics Strong communication and presentation skills and experience working collaboratively with cross-functional teams Experience with data visualization tools (Tableau, Looker, etc.) Experience using version control tools (e.g., Git/GitHub) to manage code Ability to work independently and proactively drive projects forward with minimal direction Ability to assess project requirements, ask questions, and effectively navigate ambiguity Preferred Qualifications and Skills Familiarity with ETL/ELT processes and workflow automation Interest in health or scientific systems research Familiarity with genomic or laboratory data Statistical modeling including regression analysis This is a hybrid position with the expectation of 2-3 days per week in the office. Additional Job Details (if applicable) Our Core Values: Respect for the Ariadne Labs mission, our community, each other, and ourselves Stewardship of our work and resources Pursuit of excellence, with a focus on continual improvement A belief in a collaborative, multidisciplinary approach to our work A commitment to meaningful diversity and inclusion in our work and in the Ariadne Labs community If you're excited about this role but don't meet every qualification, we encourage you to apply anyway. Ariadne Labs welcomes diverse backgrounds, experiences, and perspectives, and we value candidates who bring new ideas and innovative thinking to our team. Remote Type Hybrid Work Location 399 Revolution Drive Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $62,400.00 - $90,750.40/Annual Grade 6 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Data Science Graduate This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Education and Experience Required: Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent. Typically 0-2 years experience. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #grads Job: Engineering Job Level: TCP_01 States with Pay Range Requirement The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html . USD Annual Salary: $60,800.00 - $181,200.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Associate Data Science Actuary, Biometric Assumptions is a qualified actuary with data science capabilities. The Biometric Assumptions Team provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Associate Data Science Actuary will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Location: HYBRID at RGA HQs in St.Louis, MO or OPEN TO REMOTE Responsibilities Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards Communicate with a variety of stakeholders at various levels of seniority Offer risk management skills to any data processing or modeling exercise: Understand business context & where material scope for error lies Adhere to professional standards, best practices, and ethical guidelines Understand the strengths and limitations of a modeling approach Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines Stay abreast of new techniques, but focusing on practical applications Liaise with RGA's data scientists across the globe about more sophisticated data science applications Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field FSA accreditation or equivalent Minimum of 6 or more years of actuarial experience in life insurance/reinsurance/pension risk transfer 2+ years statistical on-the-job modeling experience (not exam based) for insurance or related applications (Regression, Decision Trees, Time Series, etc.) Statistical programs/languages (R or Python) Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) Advanced predictive modeling skills Tree-based models, GLMs, GAMs, etc. Cross-Validation, Residuals and model diagnostics Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation Advanced exploratory data analysis skills - Plots and graphics (BI/ggplot) Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques Transform data to enhance its predictive value (feature engineering) Advanced ability to translate business needs and problems into viable/accepted solutions Advanced investigative, analytical, and problem-solving skills Preferred Experience with longevity product design / pricing / experience studies / assumption development Reinsurance industry experience Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field 4+ years of experience with statistical modeling for insurance Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) Basic data engineering capabilities (Python, Scala) Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering #LI-DL1 #LI-HYBRID Compensation Range: $114,750.00 - $175,450.00 Annual Base Salary What you can expect from RGA: Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential. Compensation Range: Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: This individual will lead cloud migration initiatives and oversee product delivery efforts within the CSBB organization. Lead a team of Data Science Managers, Lead Data Scientists and Data Scientists to work on highly complex projects and support ongoing analytic processes which will influence business decisions for Truist's Lines of Business and Product partners. The Data Science Director and team use advanced analytical skills, statistical methods (collection, organization, analysis, and interpretation of the data) and software for continuous iterative exploration and investigation of past client behaviors to gain insights into client and prospect targeting, client journey and engagement and identifying clients' needs. Act as an advisor to Truist Senior and Executive Leadership to support enterprise strategic initiatives through the application of data and analytics. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Manage significant advanced analytics projects which involve broad latitude and judgment regarding the management of assigned projects including scoping, approach design, assignment of tasks, and accountability for deliverables. Lead a team of Data Science Managers, Lead Data Scientists, and Data Scientists. Provide coaching and guidance to team members, understanding their strengths, weaknesses and goals to support the appropriate opportunities for career development and enhancement. Provide performance evaluations in accordance with Truist guidelines. Work with teammates to establish development plans and provide regular coaching and feedback to members of the team. Responsible for talent acquisition, coaching and organization of data science professionals possessing highly technical skills, an understanding of business processes, natural curiosity and a drive to excellence in pursuit of business optimization and impact. Foster communication and partnership across all levels of the organization including engagement with Senior Leadership and C-Suite, Truist Executive Leadership Team. Responsible for stewarding relationships, delivering on promises and building trust with partners while delivering on LOB and company goals. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by advanced analytics in support of enhanced decision-making. Focus on continuous improvement in delivering data science driven insights and outcomes in pursuit of business optimization. Provides strategic direction in data collection, data wrangling, data mining, advanced analytic concepts, AI & machine learning, self-service enablement and data visualization for the line of business partners. Drive overall team standards in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers. Represent the team in various forums, work streams, and Executive reviews. Cultivate relationships with Senior Leaders from the Enterprise Data Office and federated analytics teams to drive efficient data science & predictive analytics delivery against shared objectives. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree or equivalent education and related training or experience, and 15 or more years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 10 or more years of progressive data science or analytics management experience with a diverse project focus and demonstrated results. Must be a people leader, able to manage in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word). Preferred Qualifications: Master's or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering. 15+ years of experience in Banking, Finance, Data Science, Analytics, Computer Science, Applied Mathematics, or Engineering. General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. They should have experience bringing new ML models to the market as part of an online platform. They should be comfortable leading a technical team, working with product and executive stakeholders with excellent communication and stakeholder management skills - particularly when bridging technical and non-technical audiences. We have a lot of ideas on how we can improve these systems. We need help connecting these ideas to business metrics, prioritizing them with input from stakeholders into a roadmap, executing efficiently from research to bringing ML models to market, and providing proactive communication on the vision/direction and status of the work. Responsibilities: Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership Incorporate internal and external feedback to iterate and evolve ML models Practice outcome-oriented/KPI-driven team management: Define metrics that lead to business goals and report on the outcomes of your efforts Lead complex, cross-team projects to deliver on our product & ML strategy, with a singular focus on driving business results Play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers. Responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations Monitor machine learning models and AI performance and troubleshoot issues as they arise Contribute to the documentation and knowledge base to help other teams understand and use Xometry's AI effectively Qualifications 8+ years experience developing and implementing machine learning algorithms, ideally within an online marketplace Excellent understanding of scalable architectures and thrive working in Agile environments Recognized expertise in the areas of marketplace optimization and pricing theory Ability to apply and implement research concepts, ultimately in production quality code Experience defining clear, testable research hypotheses, including intended impact on the business Deep knowledge of design of experiments, online experimentation approaches at scale Ability to formulate and advocate for R&D objectives and results to multi-functional team members including executive business leadership and product management Experience with your machine learning models running in a real production environment Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development and putting models into production Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse PhD in a quantitative field (or BS/MS with equivalent work experience) Mission-driven, positive attitude, and ability to motivate others Must be a US citizen, green card holder, or a legal permanent resident of the United States #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the role and team We are looking for a Senior Manager, Data Science and Analytics to help reinvent how eBay understands and drives business performance through the power of uncovering strategic insights and building new AI prototype applications. This is a rare opportunity to invent the future of analytics, redefining diagnostics from backward-looking reports into intelligent, self-evolving systems that guide decision-making in real time. The ideal candidate is a strategic thinker and hands-on problem solver, fluent in the languages of consulting, data science, analytics, and storytelling. You'll own the team responsible for deep-dive analyses into the performance of the Global and U.S. business, uncovering the "why" behind results and translating data into bold, actionable insights that move the business forward. You will also collaborate with the Agentic Analytics team, our innovation engine, to prototype AI-driven diagnostic tools, develop new intelligence capabilities, and shape the automation roadmap that defines how analytics works in the next era of eBay. Join us in building the next generation of analytics-one that doesn't just explain the past, but illuminates what's next. What You Will Accomplish Lead and inspire a high-performing team of data scientists and analysts to conduct sophisticated diagnostic analytics that uncover what drives the Global and U.S. business in particular. Partner cross-functionally across all analytics domains (e.g. Ads, Shipping, and Focus Categories) to perform deep-dive analyses that explain business dynamics and surface actionable insights. Serve as a trusted advisor to the U.S. Country Manager, providing strategic, data-driven insights that clarify performance trends and guide operational decisions. Collaborate with Corporate Finance on strategic insights and presentations for the Board of Directors and Investor Relations, shaping how eBay communicates business performance and future opportunities. Co-create with the Agentic Analytics Product team to prototype ground breaking AI and diagnostic applications, influencing the automation and intelligence roadmap that powers next-generation analytics. Drive critical initiatives as both an executor and strategic thought partner, ensuring data science and analytics play a central role in eBay's growth and transformation agenda. Apply sophisticated analytics and AI techniques including simulations and experimental diagnostics to uncover emerging customer behaviors and new performance drivers. Champion data-driven strategies that improve customer experience, and marketplace efficiency, directly impacting key business outcomes. Supervise the analysis of large, sophisticated datasets to identify trends, patterns, and leading indicators that explain shifts in business and product performance. Translate complexity into clarity, communicate analytical insights, implications, and strategic recommendations to senior leadership and cross-functional partners with precision and influence. Cultivate a culture of curiosity, innovation, and continuous improvement, empowering your team to push the boundaries of what's possible with data. Stay ahead of the curve in data science, machine learning, and AI, ensuring eBay remains a leader in transforming analytics into intelligent business systems. What You Will Bring Master's in Data Science, Analytics, Statistics, Computer Science, or a related field. Minimum of 10 years of experience in data science or analytics, with at least 3 years in a leadership role. Consulting experience preferred Consistent track record of using data science to drive significant business impact Strong understanding of data science and analytics, predictive modeling, and sophisticated diagnostics techniques. Excellent problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Outstanding leadership skills with the ability to empower and inspire a team. Outstanding communication and interpersonal skills, with the ability to articulate insights and complex concepts to a non-technical audience. Experience with big data technologies and tools (e.g., Hadoop, Spark, SQL) and programming languages (e.g., Python, R, Java). The base pay range for this position is expected in the range below: $183,200 - $244,600 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation - we're consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. Our Summer Internship Program at TransUnion will allow you to use & develop the skills you've learned in school while participating in engaging events such as: career development workshops, networking events, and guest speakers throughout this paid 12-week internship beginning in May 18, 2026 or June 15, 2026, depending on academic calendar. What You'll Bring: Must be graduating by June 2027 or earlier and currently enrolled in an undergraduate or graduate program in data science, statistics, mathematics, engineering, operations research, economics, or a related quantitative field. Advanced programming skills in one or more statistical languages, such as R or Python and SQL Strong analytical, critical thinking & creative problem solving skills. Ability to conduct meaningful research with a high degree of independence. Familiar with relational databases and "Big Data" technologies. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week Impact You'll Make: This position will conduct a research project independently or as part of a team, under the supervision of a senior member of the Data Science & Analytics team. The project scope will be designed to be achievable within the expected duration and total number of hours of the internship. At the conclusion of the project, the supervisor will conduct an assessment of the quality, completeness, and usefulness of the work. Executing the project will provide the incumbent with the opportunity to gain practical knowledge of analytic applications in industries utilizing consumer credit data, including potentially having direct participation in actual customer projects. Review the proposed research topic and generate a problem-solving methodology in collaboration with the supervisor. The proposed methodology should either demonstrate a technique not commonly used by the department or a substantial process improvement to a commonly used method. Independently manage the chosen project and provide the supervisor with periodic progress reports. Design an appropriate testing environment to measure applicability of the proposed methodology to the needs of the business unit and compare with alternative approaches, as appropriate. Create any software code necessary to produce findings. Carefully document all sources and research findings. Prepare a summary of findings in an internal white paper for senior management. Present summary of findings to research sponsors. Conduct training for other Associates as appropriate. Provide support for Data Science & Analytics projects beyond the scope of the research project, as needs arise. The pay range for this role is $22.00 - 40.00 per hour. *The pay range for this position reflects the general range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but limited to) an individual's education and experience. #WU-EC Our Summer Internship Program will allow you to use & develop the skills you've learned in school while participating in engaging events such as: career development workshops, networking events, and guest speakers throughout this paid 12-week internship beginning in May or June, depending on academic calendar. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. Benefits: TransUnion offers the following benefits to interns scheduled to work a minimum of 30 hours per week Medical with HSA options Dental Vision 401k Contribution Internships lasting longer than six months are entitled to the following additional benefit 401K employer matching TransUnion's Internal Job Title: Intern, Data Science and Analytics Company: TransUnion LLC

Data Science Intern This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Intern Education & Experience Required: Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #interns Job: Engineering Job Level: N/A States with Pay Range Requirement The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html . USD Hourly: $35.00 - $46.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Data Science Manager, Fraud & Payments San Diego, CA or Remote (US only, considered)* PlayStation | Store Publishing Operations & Commerce (SPOC) Who We Are PlayStation operates one of the largest digital commerce platforms in the world. The Fraud & Payments Data Science team protects the PlayStation Network from abuse while enabling seamless, secure purchasing experiences for millions of players. We build and maintain machine learning systems that evaluate risk in real time, optimize authorization performance, detect emerging fraud patterns, and drive measurable business impact across the payments ecosystem. About the Role We are hiring a Data Science Manager to lead the data scientists who develop fraud detection models, optimize payment outcomes, build standardized experimentation frameworks, and drive operational insights across the commerce lifecycle. You will partner closely with Fraud Operations, Payments Strategy, Finance, and Engineering to balance fraud prevention, revenue growth, and frictionless customer experience. This role is hands-on. You will guide modeling and analysis work directly, while also developing the team's technical maturity, roadmap, and long-term capabilities. Responsibilities Lead, coach, and develop data scientists working on fraud detection, risk modeling, and payment optimization Hire and grow talent; set clear expectations and provide ongoing career development and performance feedback Design, evaluate, and productionize machine learning models for real-time decisioning and post-transaction review Build standardized processes for experimentation, including champion vs challenger model evaluations, holdouts, and policy impact testing Apply causal inference to measure the incremental impact of controls and payment routing strategies Develop automated monitoring, anomaly detection, and alerting for emerging fraud patterns and behavior shifts Establish predictable operating rhythms with Fraud Ops, Payments, and Engineering to align objectives and drive execution Drive adoption of shared metrics, dashboards, and measurement frameworks across stakeholder teams Qualifications Required 8+ years of experience building and deploying machine learning models in production, ideally in fraud, trust & safety, risk scoring, or payments 2+ years of demonstrated leadership of data scientists (formal management or senior technical leadership) Strong Python and SQL, and experience with ML toolkits (scikit-learn, XGBoost, etc.) Hands-on experience evaluating risk controls using experimentation, holdouts, or causal inference methods Ability to navigate tradeoffs between fraud loss, authorization success, revenue impact, and user friction Ability to simplify complex findings and influence product and operations decisions Preferred Experience with real-time scoring systems or streaming data architectures Background in e-commerce, fintech, gaming, or digital marketplaces Experience with causal inference frameworks in applied / non-ideal conditions Familiarity with LLM classification or graph-based detection approaches PlayStation offers a global hybrid office/remote working model - Flex Modes - which aims to combine the flexibility of remote working with the magic of in-person collaboration. The model is built upon the principle of working together in-person as work requires, with the freedom to work remotely otherwise. Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $186,000-$279,000 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.