Applied Science / Data Science Leader
Lead and grow a team of Applied Scientists and Data Scientists to define the data science vision, develop ML and experimentation solutions, and influence product strategy and business growth through deep analysis and cross-functional partnerships. Requires 8+ years in data science/ML, 3+ years managing teams, advanced degree, and expertise in causal inference and Python/SQL.
About the job
What You’ll Accomplish
- Lead, mentor, and grow a team of Applied Scientists / Data Scientists, fostering technical excellence and career development
- Define and execute the applied data science roadmap in partnership with Product, Engineering, and executive stakeholders
- Drive the development of statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies to improve product performance and customer outcomes
- Establish best practices for experimentation, measurement, forecasting, and decision-making across the organization
- Translate ambiguous business problems into scalable analytical and machine learning solutions
- Influence product strategy by identifying opportunities through deep analysis of customer behavior, experimentation, and business performance
- Partner closely with engineering teams to operationalize models and deploy production-ready solutions
- Present insights and recommendations to senior leadership and executive stakeholders to influence strategic decisions
- Build a culture of scientific rigor, operational excellence, and continuous innovation across the data science organization
Your Expertise
- Master’s or Ph.D. in Statistics, Computer Science, Economics, Operations Research, Mathematics, Machine Learning, or a related quantitative field; Bachelor’s degree with equivalent industry experience also considered
- 8+ years of experience in Data Science, Machine Learning, Analytics, or related disciplines
- 3+ years of experience managing and developing high-performing data science teams
- Deep expertise in experimentation, causal inference, statistical modeling, predictive modeling, and machine learning
- Experience partnering closely with Product and Engineering organizations to deliver data-driven product improvements
- Strong proficiency in Python and SQL with experience working on large-scale datasets
- Excellent communication skills with the ability to influence executive stakeholders through data-driven storytelling
- Demonstrated success leading cross-functional initiatives from ideation through production
Compensation
The US base salary range for this full-time position is $320,000 - $380,000 annually + equity + benefits. Our salary ranges are determined by role, level and location.
Skills
Machine Learning, Causal Inference, Experimentation, Statistical Modeling, Predictive Modeling, Python, SQL, Data Science, Leadership, Product Strategy
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