Hybrid Data Scientist – Marketing

at The Clorox Company

• Job title: Data Scientist – Marketing
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: $88,700 - $165,900 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, BigQuery, Cloud, Docker, Python, SQL
• Location requirements: Hybrid, Oakland, United States

About the role

• Data Scientist applying data science techniques across Clorox's brand portfolio. Supporting data-driven decision-making in marketing, sales, and R&D through advanced analytics and AI/ML modeling.

Responsibilities

• As a Data Scientist in Marketing, you will have the opportunity to apply data science techniques across our portfolio of brands to develop novel tools and analyses that push the boundaries of marketing analytics within the company
• Contribute to the development and deployment of end-to-end AI/ML/Gen AI models, focusing on marketing, measurement, and predictive analytics
• Explore, test and implement GenAI solutions (e.g., LLMs, embeddings, RAG pipelines) for use cases like personalized marketing, customer insights, or content generation
• Scope and define data science projects, set clear deliverables, and collaborate with stakeholders to develop and deploy impactful models
• Write clean, well-organized code in GitHub repositories, following version control and collaboration best practices for development with other members of the team
• Collaborate closely with data engineers to ensure data quality, feature engineering, and the development of efficient data pipelines
• Act as a strategic partner to business stakeholders, helping them frame problems in a data-driven way and translating business goals into analytical solutions
• Lead discovery sessions with marketing, product, and leadership teams to understand pain points and identify opportunities where data science can create value
• Present analytical findings and model results through compelling storytelling, using visualizations and business context to drive alignment and decision-making

Requirements

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• CPG experience is preferred
• 1+ years of relevant experience with a Master's degree, or 2–3+ years of experience with a Bachelor's degree
• Proven experience working with business stakeholders; business-facing or consulting experience is preferred
• Proficiency in Python and SQL
• Experience developing and deploying machine learning and generative AI (e.g., LLMs, embeddings, RAG pipelines) models
• Comfortable working with unstructured/messy data
• Familiarity with GitHub and collaborative version control best practices
• Experience with cloud platforms such as Google Cloud (BigQuery, GCS) or Azure Synapse is a plus
• Knowledge of Docker and cloud-based deployment is an advantage
• Ability to translate business problems into data science solutions and scope data projects with measurable impact

Benefits

• robust health plans
• a market-leading 401(k) program with a company match
• flexible time off benefits (including half-day summer Fridays depending on location)
• inclusive fertility/adoption benefits
• comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs