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San Francisco, California, United States
Hybrid
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Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
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.
What you’ll do:
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
What you’ll need:
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