We are seeking an experienced and highly motivated Sr. Manager, Data Scientist to lead a team of talented data scientists focused on advancing our marketing analytics capabilities. The ideal candidate will possess a strong blend of technical expertise in data science, proven leadership abilities, and a deep understanding of marketing strategies and analytics. This role will be instrumental in translating complex marketing challenges into data-driven solutions, driving insights that optimize campaign performance, enhance customer understanding, and maximize ROI.

Duties & Responsibilities

Lead, mentor, and develop a team of 2-3 data scientists, fostering a collaborative and high-performing environment.
Oversee the end-to-end lifecycle of data science projects, from ideation and prototyping to production and monitoring.
Champion the use of cutting-edge data science techniques to solve challenging marketing problems.
Define and execute the roadmap for marketing analytics initiatives, aligning with overall business strategy.
Conduct rigorous reviews of statistical and optimization models to ensure they meet business needs, technical standards, and ethical guidelines.
Apply a strong understanding of statistical modeling, machine learning algorithms, and experimental design.
Hands-on experience deploying models from development through production in a modern data science stack
Set clear goals, provide regular feedback, and conduct performance reviews for team members.
Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards.

Candidate Requirements

10+ years of progressive experience in data science, with at least 2-3 years in a leadership or management role, leading a team of data scientists.
Extensive experience with ML predictive analytics, optimization algorithms, and large-scale data processing frameworks.
Significant experience working in cross-functional teams and influencing stakeholders at all levels of the organization.
Demonstrable experience with many of the following: Demand Forecasting, Segmentation, Testing, Predictive Customer Response, Price Optimization, Marketing Mix Modeling, Customer Journey Analytics, Next Best Product/Offer, Customer Elasticity (Market Response Modeling)
Master’s or PhD in Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field.