Staff Data Scientist – Member Insights
| Company | SoFi |
|---|---|
| Location | San Francisco, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Masters’ or above in quantitative areas: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 7+ years of relevant experience leveraging data-driven analysis to influence key decisions, preferably in a tech company
- Proven track record of being able to work independently, and proactively engaging with business stakeholders with minimal direction and drive measurable business impact
- Advanced skill set in crafting clean, efficient, and scalable code that adheres to industry best practices, including utilization of version control systems like Git
- Strong understanding of data mining, machine learning, and statistical modeling
- Conduct A/B testing and other experiments to validate the effectiveness of data models
- Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics
- Identify quasi-experimental opportunities, conduct relevant analyses, communicate results effectively, and collaborate with stakeholders to turn findings into actions
- Be proficient with SQL, Python (or any other coding language), and visualization tools
- Experience with using DBT to set up ELT/data pipelines, automate jobs via Airflow
- Ability to provide data insights for 0-1 products, comfortable with driving the direction of the roadmap for a data strategy
- Excellent communication and presentation skills, able to create dashboards to deliver insights
- Ability to cross collaborate, work in an ambiguous environment with strong problem-solving skills, and mentor junior data scientists.
Responsibilities
- 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 leader to understand needs and offer data-driven solutions
- Participate in internal team Knowledge sharing session and willingness to mentor junior Data Scientists in the team
- Stay up-to-date on the latest data science techniques and technologies
Preferred Qualifications
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No preferred qualifications provided.