Role Description The Data Science and Assessments (DS&A) team within People, Purpose, & Brand (PP&B) is hiring a Director I, Data Scientist (STP) to serve as a hands-on technical leader for GenAI evaluation, enablement, and responsible AI adoption. In this role, you will shape how DS&A generates, evaluates, and scales ML and GenAI-based programs and tooling to improve productivity, decision-making, and employee experience across PP&B. Core responsibilities span three areas: - GenAI Enablement: - Design, build, and maintain evaluation frameworks and pipelines that accelerate the creation, iteration, and safe expansion of GenAI capabilities, including agentic workflows, data readiness, and post-deployment monitoring. - Vendor & AI/ML Risk Management: - Define and execute a vendor-AI evaluation vision enabling repeatable vendor selection, value validation, quality monitoring, and responsible model risk management. - Broader Data Science: - Support classic ML, automation, and technical consulting to empower PP&B colleagues and drive enterprise-wide outcomes. This individual contributor role reports through the Office of Data & Data Science. The ideal candidate is proactive, highly technical, and collaborative; able to translate complex tradeoffs into clear, actionable recommendations that drive meaningful impact. Qualifications - Strong foundation in Data Science principles (Probability, Statistics, AI/ML). - Experience with LLMs, embeddings, and generative/agentic systems. - Proficient in Python; comfortable writing production-quality code. - Strong SQL skills for querying, validation, and data exploration. - Experience with APIs and integrating external model or vendor services. - Familiarity with cloud computing concepts and services. - Experience evaluating models for fairness, bias, privacy, explainability, or responsible AI. - Comfortable with Git-based version control and collaborative code review. - Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master’s degree and a minimum of 6 years of relevant experience or may be acquired through a Bachelor’s degree and a minimum of 8 years of relevant experience. Requirements - Architect, develop, and maintain tooling and pipelines to support GenAI model development, evaluation, deployment, and monitoring across PP&B programs. - Design and operationalize scalable evaluation frameworks and metrics for GenAI systems (including automated and human-in-the-loop evaluations) to ensure quality, safety, and organizational alignment. - Lead the vendor AI evaluation program: define criteria, run benchmarks and pilots, synthesize results, and provide clear recommendations for vendor selection and integration. - Build reusable components leveraging APIs and templates that enable rapid iteration and reliable deployment of GenAI features. - Partner with stakeholders across PP&B to translate business needs into technical designs, evaluation plans, and implementation roadmaps. - Promote strong engineering hygiene across projects (CI/CD, version control, testing, documentation, reproducible pipelines). - Provide informal mentorship for data science and analytics colleagues on tools and evaluation processes. Benefits - Comprehensive benefits. - Workplace flexibility. - Professional development opportunities. - Opportunities provided through Employee Resource Groups.

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com . What you'll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder. What you'll be responsible for: As a Staff Data Scientist at Circle, you'll work closely with business partners to better understand our products, building measurement frameworks for digital assets products, leveraging data to find opportunities in digital assets product offerings, and enabling better decision-making with data. In this role, you will partner with our Digital Assets team, which is responsible for growing our flagship products (USDC and USYC). Specifically, the team is growing USDC by expanding our banking partnerships, offering new products that increase the utility of USDC (such as our credit and foreign exchange offerings), and through the issuance of new assets via Circle's liquidity, multichain, and settlement infrastructure. This is an opportunity for the right data scientist to impact the operation of our most valuable products. We are a passionate team with a deeply analytical approach and your work will support our mission to be a world-class company driven by data. If you love going deep on problems across product and modeling, enjoy deriving insights, love to dig deep, have experience improving data products, and are motivated by impacting business, we want to hear from you. What you'll work on: - Perform strategic analysis, modeling, and research to identify new opportunities to improve our business. - Partner with the Digital Assets, Finance, Treasury, and Risk teams by translating the business needs to design and develop core tables, investigate product use, investigate how other Digital Assets products work onchain, and conduct research that will help us build the best-in-class products. - Build measurement frameworks to assess the success (or shortcomings) of the product portfolio and inform decision making - Create data visualizations to translate analytic and data science results for broad understanding across the business - Build scalable automation solutions using SQL, dashboards, and other tools to create leverage for yourself and the digital assets team - Occasionally share your results with larger audiences to educate them on the digital assets product and ecosystem You will aspire to our four core values: - Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities. - Mindful - you seek to be respectful, an active listener and to pay attention to detail. - Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals. - High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards. You reject manipulation, dishonesty and intolerance. What you'll bring to Circle: - 5+ years of experience in data science. - Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation, analysis, and modeling. - Strong understanding of statistics and experience applying statistical methods to understand business outcomes and customer behavior. - Proven experience in planning and driving analytical and data science projects. - Excellent analytical and problem-solving skills, with attention to detail. - Strong XFN collaboration skills and can work with and influence a diverse set of stakeholders. - Experience with blockchain data and finance data is preferred but not required. Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: $195,000 - $257,500 We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs. #LI-Remote

• Join us in building the intelligence that powers product discovery for millions of shoppers and thousands of merchants across the Middle East. • Lead the design and execution of large-scale personalization models that directly impact the company topline. • Design, train, and deploy recommendations/personalization models leveraging deep learning, sequence models (Transformers, GRU), and boosted trees (XGBoost, LightGBM). • Develop multi-objective ranking that blends engagement, conversion, and merchant value into a single ranking score (value model), using multi-task learning where shared representations help. • Build scalable two-stage retrieval and ranking systems — ANN retrieval (FAISS, ScaNN) over user/product/event embeddings feeding learning-to-rank models (pointwise, pairwise, and listwise objectives). • Collaborate with infra to productionize real-time feature pipelines (ClickHouse, Kafka, Spark). • Define serving-time impression and feature logging to eliminate training-serving skew and produce unbiased training data. • Design and run online experiments with rigorous guardrail metrics; correct for position and presentation bias in logged data; apply counterfactual/off-policy evaluation and uplift modeling to attribute lift accurately. • Integrate model outputs with platform APIs for dynamic personalization in search, home feeds, and store pages. • Define best practices for offline evaluation (MAP@K, NDCG) and online experimentation metrics (CTR, CVR, GMV uplift). • Partner with product analytics and data science to iterate on signal enrichment and cold-start strategies. • Mentor junior data scientists and define best practices.

Role Description As a Senior Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s underwriting. You will perform statistical analysis to provide data-driven insights. You will help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue in a safe and efficient manner. - Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights. - Large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations. - Develop and refine statistical and machine learning models to assess cybersecurity risks with applications to underwriting and pricing. - Create comprehensive reports on underwriting efficiency metrics and risk selection quality to inform strategic decisions. - Apply statistical techniques to evaluate and improve our cyber risk assessment methodology. - Provide analytical support for underwriting strategies to balance growth with risk management. - Identify, analyze, and implement opportunities to automate underwriting workflows using advanced analytics and data-driven strategies. - Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements. Lead cross-functional initiatives in area of expertise. - Serve as both a technical lead and a mentor within the underwriting team. - Work alongside other data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition. Intellectual curiosity and proactive approach to identifying improvement opportunities. Qualifications - Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline). - 5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry. - Knowledge of underwriting, pricing, reserving, or risk management processes in insurance. - Advanced SQL skills for querying complex databases and joining disparate data sources. - Expertise in data manipulation and analysis using Python, R, or similar analytical tools. - Experience with data visualization tools (e.g., Tableau, Power BI, Looker). - Experience with dashboard creation for operational metrics tracking. - Strong communication and analytical skills. - Capable of working with remote teams. Requirements - Actuarial qualification (nice-to-have). - Experience in cyber insurance or cyber security (nice-to-have). - Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena) (nice-to-have). Benefits - 100% medical, dental, and vision coverage. - Flexible PTO. - Annual home office stipend and WeWork access. - Mental & physical health wellness programs like Headspace, Lumino, and more! - Competitive compensation and opportunity for advancement.