Job Url: https://jobright.ai/jobs/info/69620f2fa112b40266107822

Job Description: 
SoFi
· 6 hours ago
Staff Machine Learning Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$154K/yr - $264K/yr

5+ years exp
89%
STRONG MATCH
100%
Exp. Level
83%
Skill
48%
Industry Exp.
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SoFi is a next-generation financial services company and national bank focused on transforming personal finance. The Staff Machine Learning Engineer will lead a data science team, applying quantitative analysis to enhance product performance and drive strategic decision-making across various teams.

Credit
Credit Cards
Financial Services
FinTech
Lending
Wealth Management

H1B Sponsor Likely

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Responsibilities
Build and lead a great data science team to deliver the best consumer financial products on the market
Apply your expertise in quantitative analysis, data science, and the presentation of data to see beyond the numbers and understand how our users interact with our products or SoFi Platforms
Partner with Business, Product, Engineering, and Finance teams to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions
Build/maintain reports, dashboards, and metrics to monitor the performance of our products
Manage the development of data marts, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful

Qualification

Represents the skills you have
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data Science
Quantitative Analysis
Statistical Analysis
SQL
Python
R
A/B Testing
AWS
Snowflake
Tableau
Looker
Data Visualization
Team Management
Communication Skills
Mentorship
Required
Bachelor's Degree in Computer Science, Math, Physics, Engineering, or related quantitative field
2+ years of experience in managing other team members in a formal or informal capacity
5+ years of experience doing quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages
5+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting
Experience initiating and drive projects to completion with minimal guidance
Experience communicating and representing results of analysis to senior leadership
Understanding of statistical analysis, experience with packages, such as Python, R
Experience with cloud-based platforms, such as AWS, Snowflake
Experience with building data visualizations with Tableau, Looker or other BI tools