Lead Data Scientist, Analytics

View full description

Requirements:

• You have a Master’s degree in a relevant quantitative field (e.g. data science, statistics, economics, operations research) or equivalent in industry experience.
• You have 4-8 years of experience as a data scientist or product analyst supporting product development.
• You are an expert in SQL.
• You are proficient in either R or Python for data analysis.
• You have extensive experience applying statistical analysis (e.g. hypothesis testing and regression analysis) to draw conclusions from data.
• You have experience designing and analyzing A/B testing experiments.
• You can turn ambiguous business problems into clearly defined data science solutions.
• You can produce exec-ready documents and presentations.

Responsibilities:

• Generate insights through statistical and causal analysis to inform product strategy and prioritization.
• Proactively identify opportunities to improve client conversion and marketing efficiency.
• Define metrics and OKRs that align team output to company goals.
• Advise senior leadership on key strategic decisions.
• Design, execute, and analyze A/B testing experiments to validate product hypotheses.
• Communicate technical insights effectively to influence decision making.
• Champion a data-driven decision culture.
• Mentor junior data scientists.