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Clorox is looking to solve business problems by applying data science techniques across their portfolio of brands to develop novel tools and analyses that push the boundaries of marketing analytics within the company.

Requirements

• Programming : Proficiency in Python and SQL.
• AI/ML Expertise : Experience developing and deploying machine learning and generative AI (e.g., LLMs, embeddings, RAG pipelines) models.
• Data Handling : Comfortable working with unstructured/messy data. Skilled in data exploration, cleaning, and feature engineering.
• Tools & Technologies : 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.
• Skilled in predictive modeling, personalized marketing, or customer analytics use cases.

Responsibilities

• 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.

Other

• 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 is preferred.
• Strong communication and collaboration skills; able to work with both technical and non-technical stakeholders.
• Hybrid role - 3 days in one of our offices in US