As a Data Scientist at Salesloft, you will leverage advanced statistical techniques to analyze data, build innovative product features, and collaborate across teams to solve business challenges.
Data Scientist (Mid and Senior Level)
📜 Description
- Take ambiguous credit-related questions from stakeholders and turn them into practical models and analyses.
- Build, improve, and maintain models that support consumer credit decisions.
- Work on flagship risk models and broader value-driver models, including revenue and customer lifetime value.
- Use Python and statistical judgment to develop classification and regression solutions.
- Collaborate with Credit Strategy to create useful, well-framed solutions.
- Explain technical choices clearly and help build consensus among stakeholders.
🛠️ Requirements
- You have hands-on data science experience
- Bring practical Python and Git capability
- Understand common statistical-learning models and machine-learning algorithms for classification and regression
- Have sound statistical fundamentals, including hypothesis testing and experimental design
- Can independently take an ambiguous problem from discussion to a useful model or analysis
- Communicate clearly and confidently with technical and non-technical stakeholders
- Build alignment when there are differing views, and enjoy working collaboratively to move things forward
- Are curious, practical and comfortable operating with limited hand-holding
- Work effectively across business, Product and Engineering partners
Full job description
The team
Our Data Science team helps Zopa make better credit decisions. We partner closely with Credit Strategy, Product and Engineering to turn ambiguous business problems into robust models, clear analysis and practical solutions.
We are growing a dedicated, product-facing data science capability focused predominantly on credit. The team will help rebuild and expand the models that support consumer-credit decisions, while increasing the sophistication of how we model risk, value and outcomes.
This is a hands-on individual-contributor role in a lean, collaborative environment. You will have real ownership, with space to shape the work and build alignment across the people needed to make it happen.
We are hiring at both mid and senior level, and will assess candidates at the level that best reflects their experience, technical depth and scope of impact.
A day in the life
About you
Added bonus
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