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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 Borrow Data Science team is seeking a Senior Staff Data Scientist who will help support growth in our Home Loans business by improving SoFi’s ability to execute with data. This is an exciting role for someone to leverage their analytical skills to create robust reporting, identify growth opportunities and insights, and build ML models using Snowflake, Airflow, dbt, and Sagemaker.
As a Senior Staff Data Scientist, 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 be a technical leader, helping the team build reliable, efficient, and scalable data foundations. You will create a culture of strong technical ownership, documenting your approach and ideas to socialize, resulting in strategies that have a wide impact within the organization. You will perform analytical deep-dives to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps.
In this role, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth. This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills.
Additionally, 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:
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.
Develop and apply machine learning models to solve business problems
Evaluate and interpret the results of data analysis
Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders.
Design and implement data collection. Build data pipelines to deploy production level datasets.
Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions
Act as a technical leader by mentoring and supporting the growth of less experienced team members.
What you’ll need:
Masters’ or above in quantitative areas: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
10+ years of relevant experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company
Proven track record of being able to work independently, and proactively engaging with business stakeholders with minimal direction and drive measurable business impact.
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
Ready to apply?
Apply to SoFi
Share this job
Employee Applicant Privacy Notice
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 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.
Ready to apply?
Apply to SoFi
Employee Applicant Privacy Notice
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
Ready to apply?
Apply to SoFi
Share this job
Employee Applicant Privacy Notice
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.
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.
Ready to apply?
Apply to SoFi
Share this job
Employee Applicant Privacy Notice
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.
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:
Qualifications:
Ready to apply?
Apply to SoFi
Employee Applicant Privacy Notice
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 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:
What you’ll need:
Ready to apply?
Apply to SoFi
Share this job
Employee Applicant Privacy Notice
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.
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.
Ready to apply?
Apply to SoFi
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