Senior Data Scientist, Invest
WA - Seattle; CA - San Francisco HQ
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 fintech company 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 Data Scientist who will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/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.
- Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, invest features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics.
- Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports.
- Act as a curator of data by defining, instrumenting, and tracking necessary analytics of our products by working cross functionally with engineering and product teams.
- Build self-service systems to enable others in the organization to leverage your work.
- Analyze and perform statistical analysis on data that underlies Invest’s product experiments.
- Build models to help decision makers understand customer behaviors and segmentation
- Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence
- You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.
What you’ll need:
- Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
- 3+ years of relevant work experience
- Intellectual curiosity and aptitude to pick up new technical skills
- Exceptional problem-solving skills
- Ability to initiate and drive projects to completion with minimal guidance
- High EQ with ability to influence outcomes and communicate technical content to general audiences
- Strong programming skills in SQL, Python and proficiency in Tableau
- Experience with experimentation and hypothesis testing
- Ability to work in a dynamic, cross-functional environment, with strong attention to detail
- Strong relationship building and collaborative skills
Nice to have:
- Experience with investment products
- Experience in a financial organization
- Experience with using Airflow to build Data Pipelines in Snowflake
Why you’ll love working here:
- Competitive salary packages and bonuses
- Comprehensive medical, dental, vision and life insurance benefits
- Generous vacation and holidays
- Paid parental leave for eligible employees
- 401(k) and education on retirement planning
- Tuition reimbursement on approved programs
- Monthly contribution up to $200 to help you pay off your student loans
- Great health & well-being benefits including: telehealth parental support, subsidized gym program
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.
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 embracing diversity. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Computer Science Data pipelines Engineering Finance FinTech KPIs Machine Learning Mathematics Physics Pipelines Privacy Python R Snowflake SQL Statistics Tableau Testing
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Insurance Medical leave Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs