Senior Associate, Data Scientist - People Strategy & Analytics

Capital One • McLean, VA

1d • $135,600 - $154,800

About The Position

Capital One’s People Strategy & Analytics team applies data, analytics, and insights to talent decisions and strategy. Working with HR partners and senior executives, the team helps shape talent policy, automate real-time data, and improve talent decision-making. The role applies artificial intelligence, machine learning, and social science to build models that help understand associate behavior, improve HR efficiency and tools, and inform strategies to expand Capital One’s talent advantage.

The Data Scientist supports natural language processing and machine learning models across their lifecycle, from design through training, evaluation, validation, and implementation. The role applies open-source large language models using prompt engineering, retrieval-augmented generation, and evaluation frameworks for business-specific applications. In collaboration with data scientists, software engineers, business analysts, and product managers, the role delivers HR tools and AI-powered products. It uses technologies including Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, and PyTorch or TensorFlow to analyze numeric and textual data, while translating complex data science work into aligned business outcomes.

Requirements

• Currently hold, or be in the process of obtaining by the scheduled start date, a bachelor’s degree in a quantitative field plus 2 years of experience performing data analytics; or a master’s degree in a quantitative field; or an MBA with a quantitative concentration.
• Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Experience building, validating, and backtesting models, and interpreting confusion matrices or ROC curves.
• Experience with clustering, classification, sentiment analysis, time series, and deep learning.

Nice To Haves

• Master’s degree or PhD in a STEM field.
• Experience working with AWS.
• At least 2 years of experience in Python.
• At least 2 years of experience with machine learning.
• At least 2 years of experience with SQL.
• At least 1 year of experience with relational databases such as Snowflake.
• At least 1 year of experience with AI/ML tools and ecosystems such as Hugging Face, VectorDBs, or PyTorch/TensorFlow.

Responsibilities

• Support natural language processing and machine learning models through design, training, evaluation, validation, and implementation.
• Apply open-source large language models using prompt engineering, retrieval-augmented generation (RAG), and evaluation metric frameworks for business-specific applications.
• Partner with data scientists, software engineers, business analysts, and product managers to deliver HR tools and AI-powered products.
• Use data science technologies to uncover insights in large volumes of numeric and textual data.
• Collaborate with internal stakeholders and translate complex data science work into tangible, aligned business outcomes.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
• Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior