Senior Data Scientist
New
J
JobgetherDigital product
Based in FranceFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Professional proficiency in English
- Experience
- Significant experience in applied Data Science or advanced analytics
- Required Skills
- PythonSQLData scienceData modelingA/B testingdbt
Requirements
- Bring significant experience in applied Data Science or advanced analytics, ideally in a SaaS, digital product, product-led growth, or marketing-driven business.
- Demonstrate the ability to influence business decisions through analysis.
- Have advanced SQL and data modeling skills, including experience designing, building, testing, documenting, and maintaining reliable data models.
- Have strong Python programming skills for statistical analysis, predictive modeling, and practical data products.
- Know statistics, experimentation, and causal inference, including designing and evaluating A/B tests.
- Have Growth or Marketing Analytics experience and understand acquisition channels, conversion funnels, attribution, incrementality, and customer behavior.
- Connect metrics to business outcomes and prioritize high-value analytical questions.
- Manage the analytical lifecycle from raw data and modeling through interpretation, communication, and recommendations.
- Explain complex findings clearly to technical and non-technical stakeholders.
- Work independently and proactively, challenge assumptions, and explore unfamiliar problems.
- Have professional proficiency in English.
- Familiarity with dbt or similar data transformation tools is highly valued.
Responsibilities
- Lead investigations across acquisition, activation, conversion, monetization, and retention, translating findings into actionable recommendations.
- Analyze marketing channel performance, attribution, and incrementality across SEO, paid search, CRM, and emerging channels.
- Design, implement, and evaluate A/B tests with Product and Growth teams, using causal inference and quasi-experimental methods when needed.
- Build, test, document, and maintain reliable data models using SQL, Python, and data transformation tools.
- Explain business performance, identify underlying drivers, challenge assumptions, and recommend concrete actions.
- Investigate changes in traffic, conversion rates, and customer behavior, developing analytical frameworks, predictive models, and data products.
- Partner with Product Managers, Growth specialists, engineers, and senior leadership to structure analytical approaches and measure results.
- Own analytical projects from problem definition and data preparation through modeling, stakeholder communication, and implementation of recommendations.
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