The Clorox Company is committed to growth for its people and brands. As a Data Scientist in Marketing, you will apply data science techniques to develop tools and analyses that enhance marketing analytics, support data product building, and translate data into actionable insights.
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.
Qualification
Required
Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
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.
Proficiency in Python and SQL.
Experience developing and deploying machine learning and generative AI (e.g., LLMs, embeddings, RAG pipelines) models.
Skilled in predictive modeling, personalized marketing, or customer analytics use cases.
Comfortable working with unstructured/messy data.
Skilled in data exploration, cleaning, and feature engineering.
Familiarity with GitHub and collaborative version control best practices.
Ability to translate business problems into data science solutions and scope data projects with measurable impact.
Comfortable leading discovery sessions and contributing strategically to cross-functional teams.
Strong communication and collaboration skills; able to work with both technical and non-technical stakeholders.
Highly curious, self-motivated, and able to work independently.
Strong project management and time management capabilities.
Demonstrates business acumen.
Preferred
CPG experience.
Experience with cloud platforms such as Google Cloud (BigQuery, GCS) or Azure Synapse.
Knowledge of Docker and cloud-based deployment.
Ability to present analytical findings and model results through compelling storytelling, using visualizations and business context to drive alignment and decision-making.
Benefit
Robust health plans
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
The Clorox Company (NYSE: CLX) is a leading multinational manufacturer and marketer of consumer and professional products.
