Manager, Data Science - AI for Data

Capital One Capital One · Banking · San Jose, CA +2

Manager of Data Science focused on AI for Data within a financial services company. The role involves partnering with cross-functional teams to deliver AI-enabled features across the data lifecycle, building machine learning models from design through implementation, and leveraging technologies like Python, Spark, and AWS. Experience with NLP, Information Retrieval, Search, Recommendations, and LLM fine-tuning is preferred.

What you'd actually do

  1. Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  2. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
  3. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  4. Flex your interpersonal skills to translate the complexity of your work into tangible business goals
  5. Move fast in an environment with ambiguity at times, and with competing priorities and deadlines.

Skills

Required

  • Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics OR Master's Degree in a quantitative field plus 4 years of experience performing data analytics OR PhD in a quantitative field plus 1 year of experience performing data analytics
  • 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

Nice to have

  • PhD in “STEM” field plus 3 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 4 years’ experience in Python, SQL
  • At least 4 years’ experience with Deep Learning Frameworks such as TensorFlow, Pytorch, etc. in large scale training and deployment of deep neural nets and/or transformer architectures.
  • At least 4 years’ experience with Natural Language Processing, Information Retrieval, Search, Recommendations, Fine-tuning on LLM on specific applications.

What the JD emphasized

  • At least 4 years’ experience with Deep Learning Frameworks such as TensorFlow, Pytorch, etc. in large scale training and deployment of deep neural nets and/or transformer architectures.
  • At least 4 years’ experience with Natural Language Processing, Information Retrieval, Search, Recommendations, Fine-tuning on LLM on specific applications.

Other signals

  • build machine learning models through all phases of development
  • deliver a product customers love
  • Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform