Manager Data Scientist

About the role

We are seeking a Manager, Data Science (Advanced Analytics) to design and deliver high-impact predictive and prescriptive analytics solutions that directly inform business decisions.

Responsibilities

• Design, build, and validate predictive and prescriptive models addressing key business problems (e.g., demand forecasting, pricing elasticity, promotion effectiveness, consumer behavior).
• Apply appropriate techniques including time-series forecasting, regression, classification, optimization, or simulation based on business need.
• Select modeling approaches grounded in business context, data constraints, interpretability, and scalability, not theoretical novelty.
• Own analytics initiatives from problem framing → data exploration → model development → deployment → performance monitoring.
• Translate ambiguous business questions into structured analytical problems with clear success criteria.
• Continuously refine models based on real-world performance and stakeholder feedback.
• Operationalize and adopt models into planning cycles, commercial decision processes, and operational routines.
• Monitor model performance, identify drift, and recommend enhancements or retirement as needed.
• Communicate analytical approaches, assumptions, and limitations clearly to non-technical stakeholders.
• Frame outputs as scenarios, trade-offs, and business implications, not just model results.
• Act as a trusted analytics partner to business stakeholders.
• Develop reusable analytical assets, frameworks, and modeling components to reduce one-off effort.
• Ensure proper documentation, explainability, and auditability of models.
• Contribute to analytics standards and best practices across the organization.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Engineering, or related field (Master’s preferred).
• 5–8+ years of experience in data science or advanced analytics roles with demonstrated hands-on modeling experience.
• Proven track record of delivering model-driven analytics, not just reporting or dashboards.
• Strong proficiency in Python and/or R, with practical application of statistical and machine learning methods.
• Experience with: Forecasting, regression, classification, and/or optimization models.
• Experience with large, complex, imperfect datasets (e.g., retail scan, consumer panels, transactional data).
• Ability to translate analytics into business decisions and measurable outcomes.

Qualifications

• Experience in CPG, Retail, or Commercial Analytics environments.
• Hands-on work in areas such as: Pricing & promotion effectiveness, Demand forecasting, Revenue Growth Management (RGM), Consumer behavior analytics.
• Experience with cloud data platforms (e.g., Snowflake, Databricks).
• Familiarity with deploying and operationalizing models in production environments.
• Ability to balance accuracy, interpretability, and business usability.

Skills

• Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Engineering, or related field (Master’s preferred).
• 5–8+ years of experience in data science or advanced analytics roles with demonstrated hands-on modeling experience.
• Proven track record of delivering model-driven analytics, not just reporting or dashboards.
• Strong proficiency in Python and/or R, with practical application of statistical and machine learning methods.
• Experience with: Forecasting, regression, classification, and/or optimization models.
• Experience with large, complex, imperfect datasets (e.g., retail scan, consumer panels, transactional data).
• Ability to translate analytics into business decisions and measurable outcomes.

Benefits

We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!

Pay

Annual Base Salary Range: $104,000 - $130,000

Schedule

Not specified