Manager, Data Science

Colgate•Overland Park, KS

11d•Remote

About The Position

The Manager, Data Science leads the end-to-end development, deployment, operationalization, and optimization of scalable advanced analytics, machine learning, and Generative AI solutions for the global marketing and sales organization, leveraging scalable data products. Reporting to the Director, Global Data Science, this role bridges technical data science capabilities with commercial goals and uses cloud infrastructure, MLOps practices, and quantitative modeling to support data-informed decisions and measurable business value, including sales growth and pet care innovation.

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related quantitative field.
At least 5 years of experience in applied data analytics, data science, quantitative programming, or a related field.
Hands-on proficiency with SQL and Python or R for statistical modeling and predictive analytics.
Experience designing and executing A/B testing frameworks.
Experience applying Generative AI techniques, Large Language Models (LLMs), and prompt engineering or fine-tuning in enterprise settings.
Experience using enterprise cloud platforms and data infrastructure such as AWS, Azure, Google Cloud Platform, or Snowflake.
Familiarity with SAP and customer analytics within CPG or retail.

Nice To Haves

Master’s degree in a quantitative discipline.
Ability to manage ambiguity, lead project timelines independently, apply change management techniques to drive user adoption, and communicate complex technical findings to non-technical executive audiences.
Track record of using a data product mindset and delivering measurable ROI and quantified value realization across commercial analytics initiatives.
Familiarity with model deployment and integration, foundational MLOps principles, modern data architecture, containerization, and workflow orchestration tools for model stability and monitoring.

Responsibilities

Apply a data product mindset and scalable data products to advanced analytics, translating complex commercial challenges into prioritized analytics roadmaps and advocating for data-driven decisions and measurable value realization.
Lead the development, deployment, operationalization, and lifecycle management of predictive analytics, machine learning, and Generative AI/LLM solutions for sales and marketing workflows, including unstructured data, feature engineering, and automated insight generation.
Help establish MLOps practices, CI/CD pipelines, model monitoring, and governance frameworks to support model performance, reliability, and security.
Design, execute, and evaluate continuous experimentation, including A/B testing and causal inference, to measure and improve commercial outcomes.
Partner with commercial leaders, external vendors, and IT/data engineering teams to use enterprise cloud data infrastructure and machine-learning tools.
Build and automate interactive reporting dashboards using platforms such as Tableau, Domo, or Google Data Studio for non-technical stakeholders.
Drive change management and user adoption, working with business stakeholders to incorporate AI capabilities into everyday commercial operations.

Benefits

Medical, dental, and vision coverage.
Basic life insurance and disability coverage.
Paid parental leave.
401(k) retirement plan with company matching contributions, subject to eligibility requirements.
At least 15 vacation/PTO days for salaried employees.
13 paid holidays.
Paid sick leave as adjusted for role and location in accordance with local laws.
Salaried employees may be eligible for discretionary bonuses and profit-sharing.
Long-term incentives may be available for executive-level roles.
Relocation assistance within the country.