Senior Data Scientist

Job description

Job responsibilities

• Execute deep-dive research and advanced analytics on complex datasets to uncover hidden patterns, interpret trends, and synthesize strategic business insights.
• Develop robust measurement and evaluation frameworks to define new metrics and ensure product features and operational changes meet strict standards for quality and performance.
• Design, train, and deploy advanced machine learning and predictive models to evaluate complex tradeoffs, forecast trends, and quantify business impact.
• Conduct rigorous statistical analysis , causal inference, and A/B testing to mathematically validate hypotheses, facilitate product deployment readiness, and measure ongoing business performance.
• Translate the outputs of complex statistical models into clear, data-driven conclusions and communicate actionable recommendations to non-technical senior stakeholders.
• Establish yourself as a point-of-contact for significant project areas , scoping technical priorities, innovating on statistical methods, and partnering closely with cross-functional leadership to solve ambiguous…
• Strategize, develop, and scale custom algorithms, automated workflows, and advanced analytical frameworks to operationalize predictive insights and empower self-serve decision-making.

Job requirements

• 8+ years in data science, advanced analytics, product data science, or strategic quantitative roles.
• Degree in a highly quantitative field (e.g., Statistics, Mathematics, etc.).
• Strong coding proficiency and demonstrated knowledge of data analysis libraries and packages (explicitly Python and SQL; R is also beneficial).
• Expertise using advanced statistical methods in an applied setting, with a strong foundation in experimental design, causal inference, and rigorous A/B testing.
• Familiarity with ML systems and models (e.g., predictive modeling, forecasting) and how to evaluate their performance at scale.
• A demonstrated track record of independently driving data science projects from raw data to actionable predictive solutions, delivering measurable business value.
• Excellent communication and storytelling skills , with the ability to explain complex mathematical concepts and present analytical findings effectively to product and business leadership.
• Demonstrated ownership mindset with the ability to influence technical decisions, prioritize high-impact workstreams, and collaborate with leadership across multiple functions.