Data Scientist

Senior Associate, Data Scientist – People Strategy & Analytics Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases, cutting edge technology in 1988. Fast-forward a few years, and this innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision‑making. As a Data Scientist at CapitalOne, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock big opportunities that help everyday people save money, time and sadness in their financial lives. People Strategy & Analytics brings data, analytics, and insights to shape critical talent decisions and strategy at CapitalOne. We work closely with HR partners and senior executives in shaping talent policy, automating real‑time data, and improving talent decision‑making. The team includes people with diverse skills and backgrounds—data analysts, data scientists, business analysts, HR specialists, project managers, and industrial/organizational psychologists. Role Description Support development of natural language processing and machine learning models through all phases, from design through training, evaluation, validation, and implementation. Apply expertise in using open‑source large language models (LLMs) through prompt engineering, retrieval‑augmented generation (RAG), and evaluation metric frameworks for business‑specific applications. Partner with a cross‑functional team of data scientists, software engineers, business analysts, and product managers to deliver industry‑leading HR tools and AI‑powered products. Leverage a broad stack of technologies—Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, PyTorch/TensorFlow, and more—to reveal insights hidden within large volumes of numeric and textual data. Flex your interpersonal skills to collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes. Ideal Candidate Passionate about human capital and the value we can add to our company and associates, and inspired to make a large positive impact. Innovative—continually researching and evaluating emerging technologies, staying current on state‑of‑the‑art methods, and seeking opportunities to apply them. Creative—thriving on bringing definition to big, undefined problems, asking questions, and pushing hard to find answers. Technical—comfortable with open‑source languages, passionate about developing further, with hands‑on experience building data science solutions using open‑source tools and cloud platforms. Statistically‑minded—experienced in building, validating, and backtesting models, interpreting confusion matrices, ROC curves, and working with clustering, classification, sentiment analysis, time series, and deep learning. Basic Qualifications Currently has, or is in the process of obtaining one of the following, with the required degree obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics. A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration. Preferred Qualifications Master’s Degree or PhD in a STEM field (Science, Technology, Engineering, or Mathematics). Experience working with AWS. At least 2 years’ experience in Python. At least 2 years’ experience with machine learning. At least 2 years’ experience with SQL. At least 1 year experience with relational databases such as Snowflake. At least 1 year experience with AI/ML tools and ecosystems such as HuggingFace, VectorDBs, or PyTorch/TensorFlow. Compensation McLean, VA: $135,600 - $154,800 for Senior Associate, Data Science. Salaries for other locations will follow the pay range associated with that location. This role is eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI). Benefits CapitalOne offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. CapitalOne will consider sponsoring a new qualified applicant for employment authorization for this position. Equal Opportunity Employer Statement CapitalOne is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. CapitalOne promotes a drug‑free workplace. #J-18808-Ljbffr