About the role
- The Data Science team is seeking a Senior Manager who will help support growth in our SIPS businesses by improving SoFi’s ability to execute with data
- This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact
- You will serve as a data leader, balancing urgent requests and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach
- You will create a culture of strong technical ownership, deliver impact with prioritization, support the growth of individual contributors, and hold the team accountable with high standards
- You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them
- Manage a team of Data Scientists supporting SoFi’s Checking and Savings, Invest, Credit Card, Protect, and Lantern businesses
- Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives
- Set high standards for quality and on-time delivery
- Recruit, grow, and retain top talent
- Ensure that the team is operating in an agile and efficient manner
- Stay up-to-date on the latest AI/ML technologies
- Identify high impact business opportunities to help members achieve their financial goals
- Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation
- Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders
- Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions
Benefits
- Generous vacation and holidays
- Paid parental leave for eligible employees
- 401(k) and education on retirement planning
- Monthly contribution up to $200 to help you pay off your student loans
- Great health & well-being benefits including: telehealth parental support, subsidized gym program
- Comprehensive health, vision, dental, life insurance, and disability benefits
- Fertility and family planning options
- Flexible time off
- Free financial classes
- Tuition reimbursement on approved programs, up to $5,250 per year
Qualifications
- Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders
- 7+ years of Data Science or Software Engineering experience
- Bachelor’s Degree in a technical field
- 3+ years management experience
- Ability to work in a dynamic, cross-functional environment, with a strong attention to detail
- Experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company
- Strong programming skills in SQL and Python
- Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics
- Strong relationship building and collaborative skills
- Experience with using Airflow and DBT to build Data Pipelines in Snowflake
- Exceptional problem-solving
- Experience with building data visualizations with Tableau, Looker or other BI tools
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