Data Science Manager, Borrow

The role

The Borrow Data Science team is seeking a Manager who will help support growth in our Lending 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.

What you’ll do:

• Manage a team of Data Scientists supporting SoFi’s Personal and Student Loans 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

What you’ll need:

• Bachelor’s Degree in a technical field
• 4+ years of Data Science or Software Engineering experience
• 2+ 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
• Experience with product analytics, experimentation and hypothesis testing
• 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