Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
About the role
- Designing, building, and scaling AI-driven solutions for Back Market's marketplace while optimizing product pricing and quality through data science strategies.
Responsibilities
- Collaborate with data scientists and software engineers to build new product features using machine learning, LLMs, and statistical techniques.
- Drive high-impact projects from problem definition through metrics development, data extraction, model implementation, and presenting results to stakeholders.
- Develop, deploy, and maintain machine learning models and pipelines at scale—including both batch and real-time applications.
- Design and analyze experiments to measure the impact of new features or model changes.
- Leverage deep dive statistical analyses to uncover actionable insights and inform critical tech and product decisions
- Communicate your work clearly to engineering, product, and business stakeholders.
Requirements
- At least 3 years of industry experience as a data scientist and Master’s (or PhD ) in a quantitative discipline such as Statistics, Economics or Engineering
- Impact-driven: You’ve contributed to data science projects that made a real impact on live, customer-facing products — not just in theory, but in production.
- Strong grasp of machine learning and statistical concepts and know how to choose the right model for the problem and make it work in a production environment.
- Practical expertise in experimentation design and analysis.
- Proficient in Python and SQL, and familiarity with software engineering principles around testing, code reviews, and deployment.
- Clear communicator: You are comfortable explaining complex ideas and results to diverse audiences.
Benefits
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
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