Senior Manager, Data Science

SoFi SoFi · Fintech · San Francisco, CA · Data Science

Senior Manager of Data Science at SoFi, a fintech company, responsible for leading a team of Data Scientists to support various business units. The role involves identifying and prioritizing data science initiatives, setting high standards for quality and delivery, recruiting and mentoring talent, and collaborating with cross-functional teams to provide data-driven solutions and identify business opportunities. Requires experience in data pipelines, SQL, Python, ML algorithms, and deploying ML models at scale.

What you'd actually do

  1. Manage a team of Data Scientists supporting SoFi’s Checking and Savings, Invest, Credit Card, Protect, and Lantern businesses
  2. Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives
  3. Set high standards for quality and on-time delivery.
  4. Recruit, grow, and retain top talent
  5. Ensure that the team is operating in an agile and efficient manner

Skills

Required

  • Bachelor's Degree in a technical field
  • 7+ years of Data Science or Software Engineering experience
  • 3+ years management experience
  • Experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company
  • Experience with using Airflow and DBT to build Data Pipelines in Snowflake
  • Strong programming skills in SQL and Python
  • Experience with building data visualizations with Tableau, Looker or other BI tools
  • Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics.
  • Ability to work in a dynamic, cross-functional environment, with a strong attention to detail
  • Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders
  • Strong relationship building and collaborative skills
  • Exceptional problem-solving

Nice to have

  • Stay up-to-date on the latest AI/ML technologies

What the JD emphasized

  • deploying ML models at scale in production with monitoring metrics

Other signals

  • manage a team of Data Scientists
  • deploying ML models at scale in production with monitoring metrics
  • identify high impact business opportunities
  • data-driven solutions