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Manager, Data Scientist – Advanced Recommenders and Personalization Systems, Transformers, LLMs, Reinforcement Learning
Capital One. Design and develop state-of-the-art recommender systems using transformers, large language models, and reinforcement learning .
Tech Stack
Tools & technologiesAWSPythonPyTorchScalaSQLTensorflow
About the role
Key responsibilities & impact- Design and develop state-of-the-art recommender systems using transformers, large language models, and reinforcement learning
- Advance personalization through sequence modeling, multimodal learning, and contextual decision-making
- Build and fine-tune foundation models trained on large-scale customer interaction data
- Apply reinforcement learning to optimize long-term user engagement and business outcomes
- Build evaluation frameworks to measure campaign and recommendation-system efficacy
- Collaborate with engineering and product teams to deploy scalable, production-grade, low-latency systems
- Drive innovation in generative recommendations, conversational systems, and cross-domain personalization
- Lead and develop talent while challenging conventional thinking and improving the status quo
Requirements
What you’ll need- Bachelor's degree in a quantitative field plus 6 years of experience performing data analytics; or Master's degree in a quantitative field or MBA with a quantitative concentration plus 4 years; or PhD in a quantitative field plus 1 year
- Required degree obtained by or before the scheduled start date
- At least 1 year of experience leveraging open-source programming languages for large-scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational databases
- Strong background in machine learning, deep learning, and recommender systems
- Hands-on experience with transformers, LLMs, or reinforcement learning
- Experience with large-scale datasets and distributed training
- Solid programming skills in Python and modern ML frameworks such as PyTorch or TensorFlow
- Ability to translate research into impactful, real-world systems
- Preferred: PhD in STEM plus 3 years of data analytics experience
- Preferred: at least 1 year with AWS
- Preferred: at least 4 years in Python, Scala, or R for large-scale data analysis
- Preferred: at least 4 years with machine learning
- Preferred: at least 4 years with SQL
- Capital One will consider sponsoring a new qualified applicant for employment authorization
Benefits
Comp & perks- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
- Equal opportunity employer committed to non-discrimination
- Reasonable accommodations for applicants who require them