Senior Associate, Data Scientist - People Strategy & Analytics

Description

The company has used data at its core since it started, beginning in 1988 by personalizing each credit card offer with statistical modeling and relational databases, and it has since grown into a Fortune 200 company.

The role sits in the next phase of that work, using current computing and machine learning tools on billions of customer records to help everyday people save money, time and stress in their finances.

People Strategy & Analytics uses data, analytics and insights to guide talent decisions and strategy. The team works with HR partners and senior executives on talent policy, real-time data automation and better talent decisions. Its members include data analysts, data scientists, business analysts, HR specialists, project managers and industrial/organizational psychologists.

On this team you will apply analytics to talent, combining artificial intelligence, machine learning and social science to model associate behavior, improve HR efficiency and tools, and support strategies that widen the company's talent advantage.

The team is made up of people from varied backgrounds and skill sets.

Responsibilities

• Help build natural language processing and machine learning models across every stage, from design and training through evaluation, validation and deployment.
• Work with open source large language models, using prompt engineering, retrieval-augmented generation (RAG) and evaluation metric frameworks for business-specific uses.
• Work alongside data scientists, software engineers, business analysts and product managers to build HR tools and AI-powered products.
• Use Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow and other tools to find insights in large volumes of numeric and text data.
• Work with internal stakeholders and turn complex data science results into clear, agreed business outcomes.

Requirements

• Bring an interest in human capital and a sense of the value your work can add for the company and its associates.
• Keep up with published research and new technologies, and look for ways to apply them.
• Enjoy defining large, unclear problems, asking questions and pursuing answers. Be willing to propose new ideas.
• Be comfortable with open-source languages, and want to keep improving them. Have hands-on experience building data science solutions with open-source tools and cloud platforms.
• Have built, validated and backtested models, and know how to read a confusion matrix or ROC curve. Have experience with clustering, classification, sentiment analysis, time series and deep learning.
• Currently hold, or are working toward, one of the following, with the degree expected to be completed by the scheduled start date: a Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related field) plus 2 years of data analytics experience; or a Master's degree in a quantitative field (same list) or an MBA with a quantitative concentration.
• Optional: a Master's or PhD in a STEM field (Science, Technology, Engineering or Mathematics).
• Optional: experience working with AWS.
• Optional: at least 2 years of Python experience.
• Optional: at least 2 years of machine learning experience.
• Optional: at least 2 years of SQL experience.
• Optional: at least 1 year with relational databases such as Snowflake.
• Optional: at least 1 year with AI/ML tools and ecosystems such as Hugging Face, VectorDBs or Pytorch/TensorFlow.

Conditions

The company will consider sponsoring a new qualified applicant for employment authorization for this role.

Full-time salary in McLean, VA is $135,600 to $154,800 for Sr Assoc, Data Science. This salary covers work performed in that location only. Candidates hired in other locations receive the range for that location, and the exact salary is stated in the offer letter. Part-time pay is prorated to the agreed hours.

The role is eligible for performance-based incentive pay, which may include cash bonuses and/or long-term incentives (LTI), and may be discretionary or non-discretionary depending on the plan.

Applications will be accepted for at least 5 business days.

No agencies. The company is an equal opportunity employer.

Benefits

• Health, financial and other benefits are offered. Eligibility depends on full- or part-time status, exempt or non-exempt status and management level.