Senior Staff Data Scientist, Invest

Описание вакансии

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

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

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

The Company hires the best qualified candidate for the job, without regard to protected characteristics.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights

SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.

Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.