Applied Science / Data Science Leader
About the role
This is a leadership role overseeing our applied science / data science team and you will lead a team of high-performing data scientists responsible for solving some of the company’s most strategic product and business challenges. You will define the vision for applied data science across multiple product areas, develop innovative analytical and machine learning solutions, and partner with senior leaders to influence company strategy.
Responsibilities
- 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
- Preserve a culture of scientific rigor, operational excellence, and continuous innovation across the data science organization
- 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
Requirements
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
Qualifications
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
Skills
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
Benefits
Competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work
Pay
The US base salary range for this full-time position is $320,000 - $380,000 annually + equity + benefits
Schedule
Full-time