Senior Data Scientist

Key Skills

Accounting, Applied Machine Learning, Data Analysis, DOMO, Python Programming, R Programming, SQL, Tableau

Job Description

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.

Social Finance Inc. seeks Senior Data Scientist in San Francisco, CA:

Job Duties: Work with product and business managers to identify strategic opportunities, measure KPIs

to craft compelling stories, make data-driven recommendations, and drive informed Action. Craft,

analyze, and present customer behavior metrics, such as funnel conversion, user churn, cart

abandonment, and cross-sell metrics. Work with product managers 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. Write specs and work with engineering

to capture new data and transfer data into data warehouse. 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. Telecommuting is an option.

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Data Science,

Financial Engineering, or closely related quantitative discipline, and two (2) years of experience in job

offered or related field.

Special Skill Requirements:

• SQL
• Business Statistics
• R/Python
• Excel VBA
• Data Analysis;
• Machine Learning
• Tableau/DOMO
• Accounting
• Cash flow modelling
• Any suitable
• combination of education, training and/or experience is acceptable. Telecommuting is an option.

Salary: $198,300.00 - $228,045.00 per annum