The Clorox Company · 2 months ago
Data Scientist - Marketing
Triangle Area
Full-time
Hybrid
Entry, Mid Level
2+ years expThe 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.
ManufacturingMedical
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
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
Benefits
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
Company
The Clorox Company
The Clorox Company (NYSE: CLX) is a leading multinational manufacturer and marketer of consumer and professional products.
5001-10000 employees
H1B Sponsorship
The Clorox Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (12)
2023 (15)
2022 (21)
2021 (19)
2020 (11)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
Linda Rendle
Chief Executive Officer
Kirsten Marriner
Executive Vice President, Chief Administrative Officer
Recent News
2026-01-14
Company data provided by crunchbase