[Hiring] Staff Data Scientist @Empower finance
Mar 18, 2025 - Empower finance is hiring a remote Staff Data Scientist. 💸 Salary: competitive salary. 📍Location: USA.
Role Description
Our data scientists are responsible for the entire machine learning model development process from conception with stakeholders, creation of model pipelines, technical development, deployment, and partnership with the credit, product, and finance teams to make business decisions.
The ideal candidate is passionate about using data and models to drive business growth and help customers improve their financial situations. For this role, we’re looking for a seasoned data scientist to work within our talented DS team for Empower Cash Advance and Thrive Line of Credit products. This individual will own creating and improving credit risk models, building ML based paycheck detection algorithms to help the business decrease loss rates and increase approval rates. The right person for this role is someone who shines while solving complex problems and is comfortable with a wide variety of technical tools.
Empower is a remote-first company. We drive connectivity through regular company offsites. Travel for company offsites is expected at a minimum of 2 times a year.
Key Responsibilities
- Grow user base and increase retention through machine learning and analytics
- Build machine learning models with large scale data sets to address business priorities
- Design and influence strategies on underwriting, marketing, fraud and customer experience
- Work closely with our engineering team as you implement models in production
- Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context
- Develop data standards and analytics pipelines to facilitate current and future analysis
Qualifications
- BS degree in engineering, computer science, finance or mathematics
- 6+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling
- Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization
- Experience building predictive models from scratch
- Strong programming skills in Python with intermediate to advanced knowledge of SQL
- Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc.
- Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required
- Comfort working with a variety of cross functional partners in tech, product, credit, and business
- Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience
Benefits
- Competitive salary
- Generous equity package
- Full healthcare benefits
- Technology expense reimbursement
- Virtual first environment
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| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
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Salary
💸
competitive salary
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Mar 18, 2025
|
| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
