Clorox-posted 1 day ago
Full-time • Mid Level
Hybrid • Pleasanton, CA
5,001-10,000 employees

At Clorox, we champion people to be well and thrive by doing the right thing, putting people at the center, and playing to win. Led by our IGNITE strategy, we build brands that make a positive difference in people’s lives around the world. And we know that success requires head, heart, AND guts — all three, every day — coming together to work simpler, faster, bolder, and more inclusively. Interested? Join us to #IgniteYourCareer ! Your role at Clorox: Clorox is transforming its data & technology capabilities and culture to accelerate purpose-driven business growth. We are looking for a passionate Data Scientist to join our team and help us build the future of forecasting and business planning. In this role, you will be responsible for developing and deploying forecasting models using a variety of techniques, including machine learning, statistics, and data mining. You will also be responsible for designing and implementing data pipelines to collect, clean, and prepare data for forecasting models. Forecasting team would drive this transformation through embedding predictive analytics and data science capabilities into the global decisions, empowering business units with scalable, reusable models. This position reports to Associate Director, Enterprise Analytics.

  • Deliver end-to-end analytics and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integration
  • Oversee the solution's ML Ops from a model standpoint, own the management of data & model drift
  • Retrain the models regularly, upgrade the models and associated technical pipelines, such as addition of signals or adaptation of the models to a change in input source / format
  • Do first line and second line model maintenance incl. advanced debugging whenever necessary; coordinate with engineers for specialized back-end and UI upgrades / debugging
  • Collaborate with cross-functional stakeholders/SMEs throughout product solution lifecycle to ensure requirements are met and solutions are fully integrated in business processes to deliver value
  • Evaluate existing and new data science tools and techniques, lead the development of data science best practices across the enterprise
  • 8 plus years of overall data science experience
  • 3 plusyear business experience in a Data Science or Advanced Analytics role in the industry (must have demonstrated working with business units vs academic)
  • Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases
  • Experience in data management, e.g., wrangling, extraction, normalization
  • Ability to build industrialized data pipelines
  • Proficiency in SQL and Python (required)
  • Ability to navigate, collaborate and deliver production-grade code in a complex industrialized code base
  • Experience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CD
  • Experience using business intelligence tools like Power BI / Tableau
  • Good communication and presentation skills: ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; ability to convey insight through storytelling
  • Strong project management skills to stay on top of the timelines and deliverables
  • Autonomy and creativity with an ability to design suitable technical solutions to solve business problems
  • Bachelor's degree in Statistics, Data Science, Applied Mathematics, Computer Science, Business Analytics, or related quantitative disciplines (Master's degree preferred)
  • R / Scala Knowledge of big data framework like Spark is preferred
  • Experience in Azure and Databricks are a plus
  • Understanding of design and architecture principles is a plus
  • 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
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