Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Manager - REMOTE. In this role, you will influence how the platform supports safe interactions among users by guiding a dedicated team of analytics professionals. You will have the opportunity to drive strategic initiatives, improve processes, and ensure that safety metrics and insights are effectively communicated across teams. This is a vital role that combines technical management with the power of data-driven decision-making in a fast-paced environment. Your leadership will directly impact user experiences and safety perceptions while promoting a positive, engaged community among users. Accountabilities Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing coaching, feedback, and development support. Participate in the Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy. Ensure quality of deliverables across the team through direct review or delegation, maintaining and improving existing processes. Enhance team capabilities in strategic impact through process improvement and stakeholder management. Formulate your own strategic view on safety improvements and advocate for change through thought leadership. Requirements Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation and abuse detection. 2+ years directly managing teams of 3+ individuals with demonstrated ability to build high-performing data science teams. 5+ years in data science or analytics with proficiency in SQL and R or Python. Expertise in product analytics, experimentation, A/B testing, and product strategy. Excellent communication skills and ability to convey complex technical findings to various stakeholders. Experience with self-service analytics tools like Tableau, Looker, or PowerBI. Strong perspective in safety or risk domains with application of data science. Adopt a management philosophy that fosters autonomy and accountability within teams. Collaborative, low-ego approach with a bias towards action and learning. Benefits Competitive salary range between $248,000 to $279,000 + equity + benefits. Opportunities for professional growth and development. Flexible working environment with a strong commitment to inclusion. Engaging company culture focused on gaming and community. Access to comprehensive health and wellness benefits. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who We Are Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products—without becoming a bank. Co-branded cards account for over $300 billion in U.S. annual spend—but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today’s consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we’re building a world-class team to redefine how people pay—and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we’d love to meet you. The Team The Data organization at Imprint provides the intelligence that accelerates decisions, strengthens marketing performance, powers product development, and improves cardholder experience. We partner closely with all teams to ensure that experimentation and high-quality data inform our decision-making. Within this group, the Data Science team focuses on experimentation and causal inference, forecasting, product analytics, marketing optimization, and applied ML. Data Scientists at Imprint work end-to-end on their problem areas—they frame questions, build analyses and models, and create the visualizations stakeholders rely on. We’re hiring a Data Science Manager to lead and grow this team, and help them operate effectively, efficiently, and with consistently high standards. What You’ll Do Set direction of the Data Science team, guiding the roadmap across optimization and automation. Own hiring strategy and recruitment to grow the team with exceptional talent. Manage, mentor, and develop a team of Data Scientists, raising the bar on technical rigor, ownership, and impact. Partner with cross-functional leaders to shape problem definition, prioritization, and end-to-end execution. In particular, partner with Product & Marketing on experiment design, product analytics, spend efficiency, and lifecycle analytics. Define modeling, experimentation, and machine learning best practices. Review analyses, models, and dashboards to ensure strong methodology and reliable decision-support. What We’re Looking For 6+ years in data science, product analytics, or applied ML, including 3+ years experience leading teams and hiring strong talent. Strong background in experimentation, causal inference, forecasting, or optimization. Strong proficiency in Python, SQL, and statistical methods, with hands-on depth if needed. Experience collaborating with stakeholders in a fast-paced environment with evolving priorities. Ability to turn complex analyses into concise, actionable insights for technical and non-technical partners. A people-first leader who gives direct feedback, develops talent, and builds trust. Why Join Us Lead a high-impact Data Science team driving insights across product, marketing, and growth. Shape foundational Data Science practices as we expand to more brand partners and products. Own the Data Science roadmap, influencing decisions that directly affect customer experience and business strategy/performance. Perks & Benefits Competitive compensation and equity packages Leading configured work computers of your choice Flexible paid time off Fully covered, high-quality healthcare, including fully covered dependent coverage Additional health coverage includes access to One Medical and the option to enroll in an FSA 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.

Experience more with a career at COUNTRY Financial! We’re excited you’re interested in a career at COUNTRY as we strive toward our vision - to enrich lives in the communities we serve. Our footprint spans coast to coast. But more important than where we operate, is the people who do the work. Apply today to help our organization grow and make a difference for our clients. About the role As a Data Science and Analytics Manager, you’ll lead a high-performing team to turn complex data into actionable insights that shape strategy and decisions. You’ll work with teams across the enterprise to identify, assess, prioritize, and implement advanced analytics solutions to drive measurable business value. You’ll also manage our Data Solution Delivery team which partners with teams to build and maintain our data pipelines, advance and mature our enterprise data capabilities, deliver actionable insights, and support critical business operations. How does this role make an impact? - Lead meetings to present analysis, insights, and recommendations to stakeholders to aid in making strategic decisions for the company.- Implement advanced analytics and manage projects and resources.- Oversees the creation and delivery of high-quality, comprehensive advanced analytics solutions involving artificial intelligence, predictive modeling, and deep learning.- Help support and develop the team's acquisition, manipulation and execution of data analysis using various tools and methods while maintaining data integrity.- Manages the implementation and maintenance of disaster recovery plans and activities in assigned areas. Maintains current contact information for all employees in applicable areas and communicates with non-recovery employees during a disaster. Do you have what we're looking for? Typically requires 8+ years of relevant experience or a combination of related experience, education and training, including management experience. Proven history of successfully leading efforts to evaluate, develop, and implement AI models. Experience leading data engineering and data development efforts. Strong working knowledge of cloud data platforms, tools, and practices. Proficient in Agile Methodologies Strong communication skills with the ability to tailor message and tone based on audience. Base Pay Range: $156,400-$215,050 The base pay range represents the typical range of potential salary offers for candidates hired. Factors used to determine your actual salary include your specific skills, qualifications and experience. Incentive Pay: In addition to base salary, this position is eligible for a Short-Term Incentive plan. Why work with us? Our employees and representatives serve nearly one million households with our diverse range of personal and business insurance products as well as retirement and investment services. We build relationships and work together to create a stronger, more secure future for our clients and our communities. We’re a big company, yet small enough you can make an impact and won’t get lost in the shuffle. You’ll have the opportunity to learn and grow throughout your career, either within this role or by exploring other areas of our business. You’ll be able to take advantage of our benefits package, which includes insurance benefits (medical, dental, vision, disability, and life), 401(k) with company match. COUNTRY Financial is committed to providing equal opportunity in all areas of employment, and in providing employees with a work environment free of discrimination and harassment. Employment decisions are made without regard to race, color, religion, age, gender, sexual orientation, veteran status, national origin, disability, or any other status protected by applicable laws or regulations. Come join our team at COUNTRY today!

About Mercor Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters. About the Role As a Data Science Intern at Mercor, you’ll join a fast-moving, metrics-driven engineering team that powers critical decisions across the company. You’ll analyze data that directly impacts ranking, hiring efficiency, candidate experience, and revenue. From day one, you’ll work with real datasets, ship insights used by product and engineering, and prototype models that improve how we match talent to AI companies. You’ll work closely with engineers, PMs, and leadership, designing experiments, evaluating LLM-powered systems, and building the foundations of data integrity and visibility across the platform. You’ll move quickly while maintaining a high bar for analytical rigor, clarity, and statistical correctness. At the end of the process, you’ll be team-matched to where you can have the most impact, on one of the following: Talent platform analytics – improving match quality, ranking, time-to-hire, and marketplace efficiency through experimentation and modeling. Applied AI/human data insights – partnering with leading AI labs (OpenAI, Anthropic, Google) to design evaluation rubrics, run human-in-the-loop studies, and understand how experts shape post-training data for frontier models. What You’ll Work On As an intern, you’ll take on projects such as: Defining north-star metrics and feature-level KPIs for ranking, interview analytics, and payouts systems. Designing and running A/B tests and quasi-experiments; translating results into product decisions within days. Building dashboards and lightweight data models that empower teams to self-serve insights. Instrumenting events with engineers and improving data quality, observability, and latency. Prototyping models (from baselines to gradient boosting) to improve matching and scoring systems. Evaluating LLM-powered agents through rubric design, human-in-the-loop experiments, and guardrail canary testing. What We’re Looking For Pursuing a degree in a quantitative field (graduating 2025–2027). Strong fundamentals in statistics, SQL, and Python. Experience with experiment design, causal reasoning, and data analysis. Ability to communicate clearly with engineers, product managers, and leadership. Curiosity about LLM evaluation, retrieval, ranking, or marketplace dynamics (a plus). Excited to work in person and thrive in a fast-paced environment. Nice-to-haves: experience with dbt, dashboarding tools, recommendation/search metrics, or LLM/agent evaluation. Why Mercor Impact: Your work powers how AI labs train and deploy their models Learning: Get early exposure to frontier AI research and engineering Growth: Work with a high-velocity team where interns ship to production Benefits Competitive internship stipend. Mentorship from experienced engineers. Work on real, high-impact projects. $1K monthly stipend for meals Free Equinox membership Team events and offsites. Potential full-time return offer.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Manager - REMOTE. In this role, you will influence how the platform supports safe interactions among users by guiding a dedicated team of analytics professionals. You will have the opportunity to drive strategic initiatives, improve processes, and ensure that safety metrics and insights are effectively communicated across teams. This is a vital role that combines technical management with the power of data-driven decision-making in a fast-paced environment. Your leadership will directly impact user experiences and safety perceptions while promoting a positive, engaged community among users. Accountabilities Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing coaching, feedback, and development support. Participate in the Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy. Ensure quality of deliverables across the team through direct review or delegation, maintaining and improving existing processes. Enhance team capabilities in strategic impact through process improvement and stakeholder management. Formulate your own strategic view on safety improvements and advocate for change through thought leadership. Requirements Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation and abuse detection. 2+ years directly managing teams of 3+ individuals with demonstrated ability to build high-performing data science teams. 5+ years in data science or analytics with proficiency in SQL and R or Python. Expertise in product analytics, experimentation, A/B testing, and product strategy. Excellent communication skills and ability to convey complex technical findings to various stakeholders. Experience with self-service analytics tools like Tableau, Looker, or PowerBI. Strong perspective in safety or risk domains with application of data science. Adopt a management philosophy that fosters autonomy and accountability within teams. Collaborative, low-ego approach with a bias towards action and learning. Benefits Competitive salary range between $248,000 to $279,000 + equity + benefits. Opportunities for professional growth and development. Flexible working environment with a strong commitment to inclusion. Engaging company culture focused on gaming and community. Access to comprehensive health and wellness benefits. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

HPE Labs- Business Analyst Intern- AI and Data Science 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: About HPE's Innovation Program Office HPE's Innovation Program Office is a mission-driven, pan-HPE organization focused on helping identify, validate, and integrate emerging and transformative technologies across the company. We are a small, agile, geographically-distributed team with a diverse array of professional and technical backgrounds, all collectively working to help seed new sources of innovation throughout HPE. Our mission of engaging with innovators - be they internal or external - enables us to provide advanced strategic insights to HPE's leadership, pursue strategic partnerships with technology vendors and suppliers, and nurture joint solutions relevant to HPE's customers. Position Summary We're seeking an Innovation Intern to help us assess new potential sources of innovation, investigate and validate new technologies, develop and maintain a strategic points of view critical to HPE's market position, and support our internal operations. As a key member of the team, the Innovation Intern can expect to be fully allocated to HPE's Innovation Program Office while regularly interfacing with all other HPE BUs. Depending on familiarity and experience, the Innovation Intern can also look forward to working alongside some of HPE's senior business leaders, with opportunities to directly engage at the VP, SVP, GM, and C-Suite levels. In particular, this role will include opportunities to materially contribute to the development of a new, high-visibility, startup-focused innovation program within HPE and gain exposure to the enterprise technology startup and venture capital ecosystems in the San Francisco Bay Area. This is a full-time role based out of the San Francisco Bay Area, though a remote role will be considered for exceptional candidates. Responsibilities: Assist in strategic business development projects, analyze market trends, and contribute to the development of business strategies relevant to HPE's Innovation Program Office. Support due diligence activities with primary and secondary research (e.g., engaging with BU counterparts, conducting market research and competitive analysis, building market maps and landscapes, gathering industry intelligence, etc.). Study pitch decks, product briefs, white papers, and other external materials from startups and analyze how those solutions might complement HPE's solutions. Develop and present materials that summarize your findings into clear and concise narratives consumable for senior business leaders. Contribute to the planning and execution of key projects, including milestone tracking and risk management. Work closely with cross-functional teams (e.g., engineering, marketing, sales) on various initiatives and projects. Assist with day-to-day operations and administrative tasks as needed. Participate in periodic reviews to share updates and incorporate feedback on assigned projects/initiatives. Qualifications: Exceptional candidates will meet most of the following criteria, while highly qualified candidates will possess more than half: A Bachelor's degree complemented by a background in science, technology, engineering, math, finance, economics, or other analytical fields from a rigorous, top-tier academic institution. An active student currently pursuing a Master's in Business Administration from a well-known, highly regarded university or business school. Work experience at a technology company, a technology startup, a venture capital or private equity firm focused on technology investing, a technology investment bank, at a technology consulting firm, or in corporate strategy and development. A strong intellectual curiosity and a passion for innovation and tech startups, especially in spaces relevant to HPE's enterprise technology portfolio (hardware, software, cloud, edge, data, AI/ML, networking, storage, compute, cybersecurity, silicon, quantum). A desire and drive to learn more about the tech innovation ecosystem, tech startups, entrepreneurship, how large publicly traded companies remain innovative, and the venture capital industry. Well-developed interpersonal, social, and relationship management skills. Excellent verbal and written communication skills. Comfort presenting to internal and external audiences, especially ones containing multiple levels of seniority. Strong ability to analyze complex data, identify key issues, and develop creative solutions. Aptitude for strategic thinking and the ability to formulate concrete recommendations. Strong problem-solving and analytical skills. Time management skills and working with strict deadlines. An intimate familiarity with Excel, Word, and PowerPoint. Ability to work and collaborate effectively in a dynamic, fast-paced environment while simultaneously handling multiple projects involving a variety of different teams and functional groups. 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: Administration Job Level: N/A "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. United States of America: Hourly Salary USD 40.00 - 46.00 in Colorado // 40.00 - 46.00 in California // 40.00 - 46.00 in Texas The listed salary range reflects base salary. Variable incentives may also be offered." Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html The estimated job application period closure is May 26 2026; this timeline is provided for transparency and internal planning purposes. 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. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Palo Alto, CA (Hybrid - 2 days/week in office) Reports to: Chief Technology Officer About Midi Health Midi Health is the fastest-growing virtual clinic focused exclusively on women's midlife health. We deliver insurance-covered care for women navigating perimenopause, menopause, and other hormone-related health challenges. Our care model combines clinical expertise with technology to improve access, outcomes, and quality of life for millions of women. We've raised backing from top-tier investors and are scaling rapidly, now caring for hundreds of thousands of patients across the U.S. If you're energized by building in a fast-growth, mission-driven environment, we'd love to meet you. The Opportunity: We are hiring a Vice President of Data Science & Analytics to build and scale a modern data organization that powers decision-making across Midi. This leader will bring executive-level influence, operational rigor, and clarity through data. You will partner with Product, Engineering, Commercial, Clinical Operations, and Finance leaders to define KPIs, build data products, and drive measurable business outcomes. This role is ideal for a strategic operator who can connect business strategy with data execution and establish data as a true competitive advantage at Midi. What You'll Do: Data Strategy & Leadership Build and execute a modern data strategy tied to business outcomes. Scale a high-performing analytics and data science team. Create 6-month org design and hiring plan; mentor team on prioritization and influence. Business Impact Co-own KPI definitions across Finance, Product, and GTM. Publish Insight Notes that power external storytelling with partners and investors. Develop incremental revenue opportunities by partnering on data product strategy. Operational Excellence Install lightweight operating mechanisms (pre-reads, decision memos, metric change-control). Ensure data governance, de-identification, and privacy practices support speed and trust. Drive KPI visibility across growth, quality, and operational performance. Cross-Functional Influence Work hand-in-hand with Commercial, Marketing, and Clinical leaders to make data actionable. Build trusted relationships with exec leadership as a thought partner. Increase data literacy across teams; embed analytics into planning and decision cycles. What You Bring Must-Haves: Experience leading 10+ person data teams at scale in a fast-growth environment ($300M+ run-rate or similar complexity). Proven track record turning insights into business decisions and action. Strong cross-functional operator. Trusted by cross functional teams. Excellent written communication (concise decision memos, KPI narratives). Experience implementing pragmatic data governance (privacy, access tiers, data-sharing). Familiarity with modern data architecture (warehouse + dbt + monitoring tools). Executive presence and ability to influence without authority. Nice-to-Haves: Experience in healthcare, healthtech, or regulated data environments (EHR, claims). Advanced degree in a quantitative discipline. Prior experience monetizing data or shaping data product offerings. Interview Process: Recruiter Screen- 30-45 mins Hiring Manager Screen- 45 mins Panel Interviews- 3-4 hours + Lunch in Office in Palo Alto At this time, Midi is unable to provide visa sponsorship. Candidates must be authorized to work in the U.S. without current or future sponsorship needs. The Salary range base salary is 250-350K and will depend on experience.Midi pays a competitive base salary, plus equity and benefits. While you're waiting for us to review your portfolio, here's some fun content to check out https://www.youtube.com/watch?v=1px7i6MVjNg #LI-JA1

Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. About our Team : LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs) , retrieval-augmented generation (RAG) , and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Senior Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures . This role centers on delivering AI agents that generate legal documents , interpret contracts , and autonomously execute multi-step tasks across complex legal workflows. You’ll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants—capable of grounded reasoning, contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting, summarization, and task automation challenges. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Lead evaluation of model performance for generation, summarization, classification, and dialogue-based workflows with legal constraints in mind. Build scalable prompt engineering frameworks and manage fine-tuning or adaptation of models to legal datasets. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications , especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain , LLM agent frameworks , vector databases , and prompt orchestration pipelines . Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 10 years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a way that works for you : We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you : We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business : LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

The Vice President, Global Analytics & Data Science, will define, scale, and lead the company’s enterprise Analytics-as-a-Service (AaaS) organization, aligned with business objectives and in partnership with the Chief Data and Analytics Officer. This role requires a shown people and service leader who has successfully grown analytics and data science capabilities into a large, high-touch customer-facing organization supporting diverse business needs. The role balances business partnership, service delivery excellence, and technology leadership , with a strong focus on translating complex data into clear dashboards, insights, and narratives that drive action . The VP will be accountable for setting expectations with internal and external customers, establishing scalable service models, and ensuring analytics outputs are trusted, adopted, and impactful. This leader will also define the future vision for analytics, data science, and ML, including how emerging AI capabilities can be responsibly leveraged to increase scale, insight velocity, and decision quality across the enterprise. What You'll Do Strategic Leadership in Analytics Define and implement an enterprise analytics strategy that enables a scalable, customer-facing Analytics-as-a-Service operating model. Establish service models, engagement patterns, prioritization frameworks, and success metrics that balance business demand, delivery capacity, and strategic value. Act as a senior advisor to business leaders and customers, setting clear expectations on scope, timelines, tradeoffs, and outcomes for analytics engagements. Building a long-term vision for analytics evolves the organization from reporting to insight-led decision enablement, including predictive and prescriptive modelling of data and responsible adoption of AI-powered analytics. Data Storytelling & Business Enablement Promote data storytelling as a core skill in the analytics team, making sure insights are clear, contextual, and ready for decision-making. Establish standards for visualization, narrative flow, and communication with executives across analytics outputs. Ensure analytics leaders and practitioners can turn complex analytical results into business-relevant stories that drive action at all organizational levels. Offer knowledgeable guidance on BI, analytics, and AI platforms, with a solid understanding of what high-quality, scalable analytics look like. Collaborate with data engineering and technology teams to ensure analytics platforms are reliable, user-friendly, and capable of supporting future growth. Define how AI-driven analytics (such as augmented analytics, natural language insights, and automation) can ethically improve scale, efficiency, and customer experience. What We're Looking For 15+ years of dynamic experience in analytics, data science, or data-driven transformation , 5 + years in senior or executive leadership roles within analytics, data science, or data-driven transformation Consistent record of defining and delivering enterprise analytics strategies that drive measurable business impact. Demonstrated experience building and scaling analytics and data science platforms . Expertise in AI/ML technologies , including predictive modeling, generative AI, and advanced analytics methodologies. Strong understanding of ML Ops practices , including model deployment, governance, monitoring, and lifecycle management. Experience leading global, cross-functional teams spanning analytics, data science, and engineering. Confirmed ability to collaborate effectively with product, technology, and commercial organizations to translate data and AI capabilities into business solutions. Excellent communication and storytelling skills — able to influence C-suite collaborators and translate sophisticated analytics and AI concepts into strategic insights . Strong familiarity with modern data and analytics stacks , cloud platforms (e.g., AWS, GCP, Azure, Snowflake), and visualization tools (e.g., Tableau, Power BI, Looker). (Sql knowledge, conceptual, not daily coding) Passion for innovation, operational excellence, and responsible AI . Generative AI understanding, LLM capabilities and limitations, Prompting vs fine-tuning vs RAG, Hallucinations, grounding, and trust issues. Automation, AI Enablement & the Future of Analytics Advanced degree (MS or PhD or equivalent experience or relevant experience) in Computer Science, Statistics, Artificial Intelligence, or related field preferred. Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V World Leader in Gaming Entertainment Robust benefits package Global career opportunities Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations Up to 25% Pay Range $262,028 - $486,623 per year Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity. This position offers a comprehensive benefits package, including health, dental, and vision insurance, paid time off, and a 401(k) plan with employer matching, more details available at https://atibenefits.com/ . Additional Information This role is subject to mandatory background screening and regulatory approvals. As part of your employment with Aristocrat, you may be required to complete a criminal background check, submit fingerprints, and obtain licenses or registrations with applicable gaming regulatory authorities. Aristocrat operates in a highly regulated environment and holds licenses in over 340 gaming jurisdictions worldwide. To meet our global compliance obligations, you will be required to provide the disclosure of relevant personal and background information to government agencies, sovereign nations/tribal regulators, and other applicable gaming regulatory bodies. This is a condition of Aristocrat’s gaming licenses. The specific information required may vary depending on the jurisdiction and project assignment. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver's seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. This role will act as a key leader of the DSA Product Development team. This role is responsible for providing data science expertise and resources necessary to build market-leading data products and analytic solutions on the Credit Risk Solutions (CRS) and Consumer roadmaps. Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way (the "how") to achieve objectives defined by Global Solutions stakeholders (the "what"). Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development. This role will partner and collaborate with stakeholders across GTDA and Solutions. What You'll Bring: 15+ years' experience in data science and analytics Masters degree strongly preferred Technical Skills: Advanced programming skills and aptitude; mastery of statistical programs such as R or Python; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, OneTru); high level of familiarity with Microsoft Office tools. Functional Skills: Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows. Behavioral Competencies: Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels - including executives - within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure. Strong verbal and written communication skills. Proven ability to translate technical concepts into articulate, actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes. Impact You'll Make: Develop generic scores, attributes, and other analytic solutions on the CRS and Consumer roadmaps, supporting all stages of the PDLC Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms Proactively analyze alternative data assets and machine learning methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D As a member of the CFLT and related Councils, advocate for innovative solution designs and approaches to enhance TransUnion's long-term competitiveness Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting Attract and nurture leading data science talent, creating opportunities for continual professional growth #LI-KJ1 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. 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. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. 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. Pay Scale Information : The U.S. base salary range for this position is $193,500.00 - $406,500.00 *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: VP, Data Science and Analytics Company: TransUnion LLC

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: $46,500 - $58,000 - $69,500 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 1997-2026, 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.

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $161,400.00 - $266,300.00 Target Openings 1 What Is the Opportunity? Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced data science techniques and artificial intelligence algorithms. As a Director, Data Science, you will lead the development, delivery, and long-term support of sophisticated models that solve key business problems. This may include the use of advanced artificial intelligence techniques to analyze imagery, text, and other unstructured data. This role will focus on Underwriting Operations within Personal Insurance. The ideal candidate will have in-depth technical experience with data science and artificial intelligence, a proven track record of implementing data science & artificial intelligence solutions into production environments, as well as strong leadership and project management skills. You will communicate insights and tell the story using data to senior leaders. This role will manage others. What Will You Do? Lead business or technical projects focused on the design or development of analytical solutions. Share expertise with the community through discussions, presentations, or peer reviews. Begin to challenge conventional thinking and set and manage expectations with business partners for large projects, generate and share ideas, and be aware of potential conflicts. Anticipate potential objections and persuade senior-level colleagues to adopt a different point of view. Communicate analysis, insights, and results to team, peers, business partners, and occasionally to senior leaders. You will lead group discussions and tailor communication to the audience. Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. Support various training and skill development initiatives, including delivering training to the analytics community Perform other duties as assigned. What Will Our Ideal Candidate Have? Master's in STEM related field or equivalent. 5 or more years of related experience. Subject matter expertise in modeling/ research/ analytics or actuarial required. Subject matter expertise in value creation and business model concepts. Subject matter expertise in multiple statistical software programs. Ability to develop highly complex models, interpret model results and recommend adjustments. Expertise in advanced statistics underlying data models. Ability to apply emerging statistical procedures to complex work. Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .

William Blair is seeking graduate students to join our innovative technology team for a 12-week internship program during the summer of 2026. The program is designed to promote technology careers among high performing individuals from underrepresented backgrounds in the technology space, including but not limited to women currently enrolled, or intending to enroll, in a technology related program. Selected participants will have a unique opportunity to explore areas of statistical analysis, machine learning, deep learning, data science, data visualization, and data engineering to support mission critical business use cases. The summer program also includes training, community service, and social events. Responsibilities include but may not be limited to: Work on multiple data science, machine learning and data engineering projects in Azure cloud and SPARK environment Assemble large, complex data sets that meet functional / non-functional business requirements Work with large, complex data sources to derive actionable business insights with an aim of increased ROI Develop, test and deploy predictive models using various machine learning algorithms and translate results into business recommendations Communicate results to business audience through reports, dashboards and presentation Collaborate cross-functionally with business and technical stakeholders to identify & prioritize project requirements Work with data and analytics experts to strive for greater functionality in our data systems Required Technical Skills: Currently pursuing a Master’s Degree in Statistics, Business Analytics, Data Science or Computer Science with anticipated graduation between December 2026 and June 2027 Experience using statistical programming languages (R, Python) to manipulate data and draw insights from large data sets Working SQL knowledge and experience working with relational databases as well as NoSQL databases Knowledge and experience in statistical and data mining techniques Experience working with various machine learning / deep learning algorithms and frameworks Text Mining, NLP and Social Network Analysis Experience with data discovery and visualization tools Hands-on data engineering experience using structured and unstructured data Preferred Technical Skills: A successful history of manipulating, processing and extracting value from large disconnected datasets Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with data pipeline and workflow management tools: Airflow, Azure Data Factory etc. Experience with building processes supporting data transformation, data structures, metadata, dependency and workload management Experience with cloud cognitive eco-system like Azure, AWS

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles . You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. The Role We’re looking for a Data Science Director for Growth to lead the data science engine behind Airwallex’s next phase of hyper-growth. This is a senior leadership role at the intersection of data, product, and growth strategy — responsible for driving measurable impact across acquisition, activation, conversion, retention, and monetization. You will shape how we use experimentation, advanced analytics, and machine learning to unlock step-function growth, partnering closely with leaders in Product, Engineering, Marketing, and Design. This role is ideal for a growth-minded data science executive who thrives in a fast-scaling, high-impact environment. This is a full-time role based in San Francisco . What You’ll Do Lead & Scale a High-Impact Team: Build, mentor, and inspire a world-class data science & AI team focused on driving user and revenue growth. Foster expertise in applied ML and GenAI, ensuring the team balances experimentation, traditional DS rigor, and cutting-edge AI capabilities. Own Experimentation at Scale: Architect and oversee our experimentation framework — A/B testing, multi-arm bandits, and causal inference — to accelerate innovation. Extend this framework into AI-driven adaptive experimentation , leveraging bandits and reinforcement learning to allocate growth investments dynamically. Develop Growth-Focused AI Solutions: Agentic workflow for Growth: build copilots and agent workflows (e.g., automated campaign generation, sales assistant bots, lead research copilots) Personalization engines: Use embeddings and recommendation models to deliver contextualized product experiences and lifecycle messaging. Advanced segmentation & profiling: Learn patterns & turn data into numbers: Leverage ML + embeddings to identify high-value prospects and clusters. Churn & retention modeling: Predict customer behavior and trigger AI-driven lifecycle interventions. Propensity scoring & lead prioritization: Blend predictive ML with LLM-powered enrichment of firmographics/intent data. Pricing & incentive optimization: Apply reinforcement learning and causal ML to optimize offers in real time. Deliver Strategic Insights & AI-Enhanced Playbooks: Translate complex DS/AI outputs into growth playbooks, roadmaps, and investment strategies. Build self-serve AI-driven insights tools (e.g., natural language query over growth data via LLMs) for cross-functional partners. Partner Across Functions: Work hand-in-hand with CRO, Head of Growth, Growth PMs, Growth Engineers, Marketing, and Sales to embed data-driven thinking into every growth initiative. Define Metrics & Drive Measurement: Establish clear KPIs for acquisition, activation, retention, and LTV; ensure rigorous and consistent measurement across markets and teams. Champion Data-Driven Culture: Elevate the role of data science in shaping business strategy and mentor the next generation of data science leaders at Airwallex. Who You Are Experienced Growth Leader: 10+ years in data science, analytics, or applied ML, including 5+ years leading teams at scale in top-tier tech, fintech, or growth-driven businesses. Deep Growth Expertise: Proven track record of using data science to drive customer acquisition, funnel optimization, personalization, and retention in high-growth B2B products. Technical Depth: Strong background in analytics, statistical modeling, causal inference, experimentation design, and proficiency with Python/R, SQL, and cloud-based data platforms. Strategic Operator: Comfortable navigating business trade-offs, prioritizing initiatives for outsized growth impact. Cross-Functional Influencer: Skilled at partnering with Product, Engineering, and Marketing leaders to align on shared goals. Builder Mindset: Thrives in fast-scaling environments with high ambiguity and is excited to build teams, systems, and best practices from the ground up. Communication: Exceptional verbal and written communication skills with the ability to influence executive-level stakeholders and translate complex model results into actionable business insights. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @ airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

About Us At Rox , we believe in empowering people to do their best work. Our platform supercharges sellers with autonomous revenue agents to do the manual work so they can focus on what they do best: selling. Just as coding agents 10x’d engineering, revenue agents 10x customer work. We are reimagining the revenue stack by building the world’s first revenue operating system, from the application layer to the system of context. With Rox, humans are evolving to orchestrators while agents manage the end-to-end customer lifecycle. Rox powers Global 2000 leaders in banking, hardware, construction, and sovereign AI, while serving dominant AI winners like Ramp and Cognition. Underlying all of this success is a unwavering, shared belief in the mission, with an unreasonable commitment of doing whatever it takes to make it a reality. The Team Nothing is possible without the world-class team, assembled to redefine how businesses operate. Members on our team have: Founded and exited successful companies Held the highest positions at Google, AWS, Confluent, and New Relic Won IMO and IOI gold medals Published field-defining papers We’re backed by the best, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré. Core Principles Taste: Craft beautiful experiences. No matter how small, we strive to make sure every detail is right. We care deeply about every interaction, both in terms of whether it helps the seller get the job done, but also how the product makes them feel. We get a visceral feeling when something is off and stop at nothing to make sure we make it right. We never settle, continuously exploring ways to delight sellers. Obsession: Commit unreasonably. In all aspects of our craft, we commit. We not only are immediately reactive to customers’ requests but are proactive about driving value even before they ask. We are also obsessive about always learning and honing our craft, improving ourselves and product every single day. Action: Get it done. Talking is easy but the difference comes from the execution. We lean heavily towards making thoughtful yet fast decisions and delivering immediately. We play in a field where trust is paramount. We earn the trust and right to empower the best sellers by forging a history of over-delivering on the promise at record speed. Role As a Data Scientist at Rox, you will power the intelligence layer behind the world’s first revenue operating system. You’ll be responsible for the metrics, insights, and analytical frameworks that shape how we build product, operate as a business, and help our customers transform their revenue organizations. This is a high-ownership, high-leverage role for someone who thrives at the intersection of data, GTM, product strategy, and operational excellence. You will work directly with leadership, engineering, and GTM pods to create clarity, drive decisions, and build the analytical foundations that scale with the company. If you love turning ambiguity into structured insight, building clean data models, and influencing business strategy with evidence, this is the role for you. Responsibilities Build and maintain dashboards, KPIs, and the company-wide single source of truth for revenue, usage, and customer telemetry. Partner with GTM leaders to drive segmentation, funnel insights, measurement of workflow adoption and ROI. Ensure high-quality data foundations through dbt-style modeling, data consistency, instrumentation, and proactive improvement of data pipelines and reporting. Run deep product and usage analytics—including experimentation frameworks—to inform product development, activation, retention, and enterprise rollout success. Deliver strategic analyses and executive-ready insights to support leadership, board materials, and new revenue motions. Create scalable documentation, metric dictionaries, automations, and enablement materials while onboarding teams into Rox’s data ecosystem. Qualifications Required Degree in a quantitative field (e.g., Mathematics, Economics, Computer Science, Engineering, Statistics) 2–5+ years experience in fast-paced, high-growth companies supporting Sales, Finance, or Product Strong SQL and Python skills, able to work efficiently with large, messy datasets Experience working with dbt ecosystems (e.g, paradime, dbt) Experience building dashboards in tools like Sigma, Looker, Tableau, Mode, or equivalent Exceptional analytical rigor and structured problem-solving skills Strong communication skills, able to translate complex data into simple narratives for executives High energy, “no job is too small” mentality, and ability to operate with extreme ownership Ability to context-switch rapidly and thrive in an environment of speed, ambiguity, and high expectations Located in or willing to relocate to San Francisco Preferred Experience working directly with GTM organizations and leadership teams Knowledge of revenue methodologies, KPIs, and operational models Familiarity with data warehousing technologies Experience designing semantic layers and metric governance processes Ability to build minimal data apps, Python scripts, or automations to scale workflows Experience supporting enterprise customers or working with B2B SaaS telemetry datasets Comfort presenting analytical findings to C-suite or enterprise stakeholders Strong intuition for business levers, product adoption mechanics, and experimentation Benefits Competitive pay with considerable equity upside Health Insurance Apply To apply, please fill out the application form. 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Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services (particularly capital markets and fixed income), insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. Our solutions power trading desks, portfolio optimization, and risk analytics across fixed income, derivatives, and structured products. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for architecting and deploying cutting-edge ML systems that power core business functions across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in driving the development of scalable ML infrastructure, production-grade models, and reusable frameworks that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will bridge quantitative research and technology, with deep understanding of fixed income markets and derivatives. You will act as a technical thought leader and strategic partner in shaping the direction of the organization’s machine learning investments, fostering a culture of rigorous experimentation, reproducibility, and responsible AI. Key Responsibilities: Design and deploy ML systems that solve high-impact business problems for critical workflows. Develop and implement advanced ML methods including time series forecasting, reinforcement learning, optimization algorithms, and probabilistic modeling. Lead the adoption of emerging ML techniques and tools (e.g., generative AI, LLM fine-tuning, vector databases, RAG) through rapid prototyping. Partner with AI researchers and data scientists to translate experimental models into production-ready systems, supporting scaling and generalizability across business domains. Own the development of foundational models and platform capabilities that serve as building blocks for downstream AI applications across the organization. Ensure ML models are designed with safety, fairness, and transparency in mind, and aligned with internal governance frameworks and external regulatory standards. Collaborate with cross-functional leaders in engineering, product, and business teams to embed ML-driven decision-making into core processes and workflows. Continuously evaluate emerging ML techniques and tools, and champion their adoption through rigorous prototyping, benchmarking, and knowledge sharing. Define and manage metrics to evaluate model performance and business impact, ensuring ML projects meet both scientific and operational standards. Design ML-driven pricing models for fixed income securities, derivatives, and structured products. Mentor other ML engineers and data scientists, fostering technical excellence and a culture of innovation and collaboration. Requirements 8+ years of experience building and deploying machine learning systems in production environments, preferably in investment banking, fixed income trading, or hedge funds, ideally within enterprise or platform-scale settings. Proven track record of leading ML projects from ideation to production, including cross-functional collaboration and technical ownership. Deep expertise in supervised, unsupervised, reinforcement learning or statistical modeling. Experience with multimodal, generative AI, or large language models (e.g., LLMs, diffusion models) is a strong plus. Proficiency in Python, along with modern ML and data stack tools (e.g., TensorFlow, PyTorch, scikit-learn, JAX, Ray, MLflow). Hands-on experience with MLOps principles and frameworks (e.g., CI/CD pipelines for ML, model monitoring, reproducibility). Strong understanding of cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI, or similar). Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions. Strong foundation in fixed income analytics, derivatives pricing, and risk management. Commitment to responsible AI, including model fairness, transparency, and compliance with regulatory standards. Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline preferred. Preferred, but not required: Hands-on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosystem. CFA or FRM certification Benefits Position Location This is a hybrid position based out of our New York, NY office. Compensation The base pay for this position is $240,000-285,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

About This Role: The Senior Manager, Data Science Lead will play a pivotal role in Biogen’s Data Science team, driving the development of advanced modeling solutions that deliver automation and decision enablement for Biogen North America. This position will be responsible for building high-impact data science solutions, including marketing optimization, patient-level predictive analytics, machine learning-based personalization, and field force effectiveness strategies. As a hands-on contributor, you will collaborate with cross-functional teams to ensure that data science outputs are actionable, accurate, scalable, and aligned with brand priorities. You’ll serve as a thought partner to commercial leadership, championing the use of data and AI to deliver measurable business value. You will contribute towards building robust techniques, applying model factories, and shaping the design of products and their applications to business objectives. What You’ll Do: Execute flawlessly the long-term data science and AI vision, ensuring alignment with enterprise capability roadmaps, commercial priorities, and emerging AI/ML trends. Contribute to the end-to-end development, deployment, and scaling of data science solutions, including predictive models, clustering, segmentation, optimization, and advanced natural language processing (NLP) and large language models (LLMs), to address complex commercial challenges. Act as a trusted partner to the insights and marketing teams, demonstrating rigor and knowledge in data science algorithms. Be open to feedback from adopters on the quality of outputs and build corrective model fine-tuning and performance continuously. Serve as the primary data science partner for U.S. commercial brand teams, translating business objectives into analytical frameworks. Guide business stakeholders through insight interpretation and activation, ensuring outputs are integrated into workflows. Provide technical expertise and thought leadership on the development of analytical tools and reusable frameworks. Promote analytical rigor, responsible experimentation, and model governance best practices across the analytics organization. Collaborate with a high-performing team of data scientists that encourages learning and experimentation. Collaborate with IT to develop ML Ops environments and deliver productized solutions. Design and operationalize Next Best Action (NBA) strategies using machine learning to optimize field force effectiveness. Develop and scale Patient 360 models and predictive targeting algorithms for AI-driven lead generation and patient outreach. Guide measurement and ROI optimization efforts through marketing/media mix modeling and budget allocation. Manage relationships with external analytics partners, ensuring alignment with internal data engineering and compliance teams. Who You Are: You are a data scientist with strong subject matter expertise in Gen AI, supervised and unsupervised machine learning algorithms, and model validation. You have hands-on experience in pharma functional areas of data science such as patient finding, patient journey, and marketing optimization. With an innovative and futuristic mindset, you apply data science and AI to commercial and medical use cases effectively. Your ability to communicate and influence, combined with a deep understanding of data science principles, makes you an ideal partner to our teams. Required Skills: Minimum 5 years of hands-on analytics or data science experience, including at least 4 years leading data science projects or teams. Bachelor's degree in a quantitative field a must. Strong command of statistical modeling supervised and unsupervised learning, A/B testing, and time-series forecasting. Experience in marketing mix, portfolio optimization, and Gen AI product design. Experience deploying data science solutions in a commercial setting, ideally within pharma, biotech, or healthcare. Proficient in Python, R, SQL, and Snowflake; experience with Power BI, Tableau, or other data visualization tools. Proven track record of designing and implementing Next Best Action strategies, marketing optimization models, and omnichannel analytics. Experience working with APLD, PlanTrak, specialty pharmacy, or claims datasets. Strong communication and influencing skills; comfortable presenting to senior stakeholders and cross-functional teams. Preferred Skills: Master’s degree in data science, Statistics, Engineering, Computer Job Level: Management Additional Information The base compensation range for this role is: $142,000.00-$190,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance. In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being ; including, but not limited to: Medical, Dental, Vision, & Life insurances Fitness & Wellness programs including a fitness reimbursement Short- and Long-Term Disability insurance A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31) Up to 12 company paid holidays + 3 paid days off for Personal Significance 80 hours of sick time per calendar year Paid Maternity and Parental Leave benefit 401(k) program participation with company matched contributions Employee stock purchase plan Tuition reimbursement of up to $10,000 per calendar year Employee Resource Groups participation Why Biogen? We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

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: $46,500 - $58,000 - $69,500 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 1997-2026, 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.

About Us Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We're about community, inside and out. You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and Twitter, and discover the projects we're solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Central Analytics team drives evidence-based decision-making throughout Twitch. As researchers and thought leaders, we leverage foundational data, sophisticated ML models and cornerstone analyses to inform product strategy, guide business decisions, and unlock new capabilities. Our interdisciplinary team brings together experts in data science, machine learning, and user research to continuously innovate and improve the world's leading live-streaming platform. Our team is seeking an exceptional intern with demonstrated proficiency in applying machine learning and statistical methods to extract valuable insights from complex data. We value creative problem-solvers who possess a strong analytical foundation and the communication skills necessary to thrive in a collaborative environment. Our problems cover many different aspects of user behavior on Twitch, from predictive modeling of onsite viewer engagement and commerce activity, to advanced fine-grained cohort analyses of user behavior and their evolution on Twitch. The ideal candidate possesses strong quantitative reasoning skills to design and implement data science workflows, identify key patterns within large datasets, apply appropriate statistical methods, and translate those findings into clear, actionable recommendations. You Will: Drive Twitch's understanding of users and their activity through ownership of research projects from data collection to model development, estimation, and validation Identify and pursue projects with significant business impact, and make compelling cases for prioritization and resource allocation. Collaborate with specialists in data science, analytics, engineering, and economics disciplines to efficiently develop reliable and reproducible analyses at scale. Deliver well-documented datasets, tools, and reports to key technical and business stakeholders. You Have: MS in data science, machine learning, computer science, statistics, or highly related field OR 2+ years experience on a data, research, or applied science team OR equivalent applied research experience Adherence to good coding standards and working knowledge of SoTA machine learning techniques, including forecasting, time-series modeling, natural language processing (NLP) and unsupervised learning. Fluency in data-science tools: Python, R, SQL, and associated AI/ML libraries. Maintain proficiency with version control systems to ensure collaborative development and reproducibility Excellent written and verbal communication skills on quantitative topics Keen judgment for balancing research depth and pacing Bonus Points Familiarity with Twitch/streaming Familiarity with generative AI (GenAI) tools Perks Medical, Dental, Vision & Disability Insurance 401(k) Maternity & Parental Leave Flexible PTO Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Job ID: TW8992 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $46.88/hr in our lowest geographic market up to $88.94/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.