The Role

The Borrow Data Science team is seeking a Senior Data Scientist who will help drive growth in our Lending businesses by transforming raw data into a compelling narrative for success. This is an exciting role for a proactive data scientist who is naturally curious and possesses a deep-seated drive to uncover insights before they are even requested.

Success in this role hinges on your ability to act as a strategic partner; you are not just a technical executor but an analytical storyteller who can bridge the gap between complex data and business strategy. While you have the technical aptitude to leverage tools like SQL, Python, dbt, and Airflow to build robust pipelines in Snowflake, your true impact lies in your ability to lead cross-functional initiatives and influence the product roadmap through data-driven advocacy.

What You’ll Do

• Drive Proactive Insights: Use your curiosity to dig deep into data, identifying trends and opportunities that others might miss, and proactively presenting these findings to leadership.
• Champion AI Productivity: Act as a pioneer for AI integration within the team. Identify and implement AI tools and workflows that streamline data engineering tasks, accelerate analysis, and drive outsized business impact.
• Analytical Storytelling: Translate complex quantitative analyses into simple, persuasive narratives that enable business leaders to make informed, high-stakes decisions.
• Strategic Leadership: Partner with cross-functional teams to lead the optimization of core product decisions, including funnel conversion, experimentation, and unit economics.
• Build Technical Foundations: Design and maintain scalable reporting pipelines in Snowflake using dbt and Airflow, ensuring business logic is efficiently encapsulated for company-wide use.
• Champion KPI Consistency: Create frameworks that ensure a "single source of truth" for KPIs across various platforms and BI tools.
• Mentor and Innovate: Stay ahead of industry trends and technical features to continuously improve our data stack, while mentoring peers on best practices in analytical rigor.

What You’ll Need

• Education: B.S., M.S., or M.B.A. in a quantitative field (Statistics, Economics, Engineering, CS, Mathematics, etc.).
• Experience: 5+ years of experience in an Analytics, Data Science, or Engineering role, preferably within Finance or Tech.
• Communication & Influence: Exceptional communication skills with a proven track record of influencing stakeholders and leading projects from conception to completion.
• Innate Curiosity: A self-starter mindset with a passion for problem-solving and an ability to thrive in dynamic, ambiguous environments.
• Technical Proficiency: Strong programming skills in SQL and Python, with hands-on experience using dbt and Airflow to build data pipelines in Snowflake.
• Data Visualization: Experience building intuitive and impactful dashboards in tools like Tableau to support your storytelling.
• Collaboration: Strong relationship-building skills and the ability to work seamlessly across diverse, cross-functional teams

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 

The Role

We are seeking a Senior Staff Data Scientist, Invest who will help shape our Invest business strategy and product development decisions through high-impact, data-driven insights. The Senior Staff Data Scientist will work closely with cross-functional partners, including Invest business leaders, Product, and Finance partners, to build and grow SoFi Invest into the premier choice for anyone looking to "Get Their Money Right" in the markets.

This is a high-leverage role with a direct impact on the product strategy and revenue growth of SoFi’s investment ecosystem. Success in this role hinges on your technical aptitude, quantitative abilities, and deep business acumen: you know how to plow through data with SQL/Python/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.

What You’ll Do

• Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
• Help drive customer engagement strategies including account funding, recurring deposits, trading activity, and retention.
• Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics.
• Drive the end-to-end product analytics strategy for Invest, from architecting the data instrumentation required to track the customer journey, to establishing the North Star metrics and analytical frameworks that guide our long-term roadmap.
• Own Invest’s end-to-end experimentation lifecycle, including hypothesis development, test design, and the translation of experimental results into actionable product recommendations.
• Discover and analyze trends in customer behavior to inform decision making with a high level of confidence.
• Present analyses to Invest business and product leaders. 

What You’ll Need

• M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position.
• 8+ years of experience working in a data science, analytics, business strategy, or related role in the investment or brokerage industry.
• Strong programming skills in SQL, Python and proficiency in Tableau.
• Experience in the Wealth Management or Fintech industry, and deep understanding of brokerage and market data.
• Strong understanding of Invest P&L (profit and loss) drivers.
• Experience with product analytics, experimentation and hypothesis testing.
• Proven track record of end-to-end experience in building analytical frameworks to inform business strategy.
• 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.
• Exceptional problem-solving skills.
• Strong relationship building and collaborative skills.
• 2+ years of management experience

We are looking for a highly strategic and technically strong Staff Data Scientist to join the Member Data Science team, focused on driving engagement and long-term member value, specifically for our subscription premium program, SoFi Plus. This role will be responsible for deeply understanding the drivers of engagement, retention, and subscription value across the SoFi ecosystem. You will define and own engagement measurement frameworks, lead high-impact analytical deep dives, design causal experiments, and develop scalable data and modeling solutions that inform product strategy for SoFi Plus. 

The Member Organization builds engaging and personalized experiences for our members across our product lines. As a Staff Data Scientist, you will operate as a data thought partner to Product, Engineering, Lifecycle Marketing, and Leadership. You will shape the engagement roadmap through insights on activation, feature adoption, habit formation, churn risk, subscription upgrades/downgrades, and long-term member value. You will proactively identify the most impactful opportunities to improve subscription engagement and revenue, and ensure we are making disciplined, data-informed investment decisions.  This role requires strong technical skills (SQL, Python/R, Tableau, Statistics), deep expertise in metrics, segmentation, A/B testing, and strong collaboration.

This is a highly cross-functional and high-visibility role with direct impact on member experience and recurring revenue growth. This is an exciting role for someone to make a direct impact on the company's growth trajectory and member experience.

Responsibilities:

• Design and implement data collection and processing pipelines
• Develop and apply machine learning models to solve business problems. Translate modeling outputs into actionable business strategies.
• Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports
• Evaluate and interpret the results of data analysis
• Communicate findings to influence technical and non-technical stakeholders
• Stay up-to-date on the latest data science techniques and technologies
• Build data pipelines to deploy production level datasets
• Proven experience building scalable dashboards and executive-ready reports that measure product performance, subscription health, and engagement KPIs, and effectively translate insights into actionable business recommendations.
• Experience with leveraging LLMs or other AI solutions to develop analytical tools.

Qualifications:

• Master’s degree or higher in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or related quantitative field.
• 7+ years of experience leveraging data-driven analysis to influence product and business strategy, ideally in a tech or subscription-based company.
• Deep expertise in:
• Retention and engagement analytics
• Cohort and lifecycle analysis
• Subscription metrics (churn, LTV, ARPU)
• Experimental design and causal inference
• Strong proficiency in SQL, experience with visualization tools (e.g., Tableau) and python.
• Experience building data pipelines using DBT and orchestrating workflows with Airflow in Snowflake environments.
• Proven experience developing and deploying machine learning models in production with monitoring frameworks.
• Strong understanding of subscription economics and revenue optimization.
• Demonstrated ability to work independently in ambiguous environments and drive measurable business impact.
• Excellent communication skills, including the ability to present complex technical findings to executive audiences.
• Track record of mentoring junior data scientists and elevating team standards.

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 

We’re looking for a highly skilled Senior Data Scientist to play a pivotal role on the Member Data Science team, focused on driving and accelerating member growth across a broad set of member growth initiatives. This role will be instrumental in establishing measurement frameworks and analytical infrastructure to support growth strategies end to end. Key responsibilities include defining success metrics, building tracking systems, designing experiments, conducting customer segmentation and price elasticity analyses, and optimizing member acquisition economics with propensity models. The Member Organization builds engaging and personalized experiences for our members across our product lines.

As a Sr. Data Scientist on the Member Growth pillar, you will be responsible for defining and owning core growth KPIs, building and maintaining reliable dashboards and reporting to track performance, and establishing clear success metrics across the growth funnel. You will conduct deep-dive analyses such as customer segmentation, funnel analysis, A/B testing, and elasticity or trade-off evaluations to identify levers that optimize conversion, and become an SME in our member referral program. You will develop models (e.g., propensity or uplift models) to inform targeting, prioritization, and investment decisions across growth initiatives. This role requires strong technical skills (SQL, Python/R, Tableau, Statistics), deep expertise in metrics, segmentation, experimentation, and strong collaboration.

This role is inherently cross-functional, you will work closely with engineering, product managers, lifecycle marketing, data science, design, operations, finance, and executive teams to set growth objectives, define referral program strategy, prioritize features, provide insights, and execute on them. This is an exciting role for someone to make a direct impact on the company's growth trajectory and member experience.

Responsibilities:

• Design and implement data collection and processing pipelines

• Develop and apply machine learning models to solve business problems

• Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports

• Evaluate and interpret the results of data analysis

• Communicate findings to influence technical and non-technical stakeholders

• Stay up-to-date on the latest data science techniques and technologies

• Build data pipelines to deploy production level datasets

Qualifications:

• Bachelor’s degree required (Master’s preferred) in Computer Science, Math, Physics, Engineering or quantitative field. 

• 4+ years of relevant work experience 

• Strong programming skills in SQL, Python/R and proficiency in Tableau

• Proven experience creating dashboards and reports that drive business decisions

• Experience with using DBT, Airflow to build Data Pipelines in Snowflake

• Experience with experimental design/interpretation, A/B testing, quasi-experimentation for causal inference

• Experience with data mining, descriptive analytics, defining KPIs, machine learning, statistical modeling, and predictive modeling concepts.

• Experience with funnel analysis, cohort analysis, and segmentation

• Demonstrate strong business acumen and curiosity, with excellent communication and presentation skills, including the ability to present to leadership.

• Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion 

• Exceptional problem-solving skills

• Influence outcomes and communicate technical content to general audiences 

• Work independently in a dynamic, cross-functional environment, with strong attention to detail and the ability to be a team player.

• Prepare comprehensive data reports and make insights easy to understand.