Lead Data Scientist at The Clorox Company

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 undergoing a remarkable transformation in its data and technology capabilities and culture to propel purpose-driven business growth. We are searching for a dynamic leader to spearhead this endeavor, someone who can construct and integrate innovative predictive data science solutions into pivotal decision-making moments. This visionary individual will enhance the everyday experiences of our employees, customers, and consumers, while also enabling faster informed decisions, streamlined operations, and the exploration of new value streams.
In this role, you will:
Lead the implementation of AI/ML-based modeling engines to drive advanced integrated business planning capability
Partner with cross-functional business teams, Data Architecture and Engineering to design, develop, and deploy AI/ML models to deliver highly interpretable forecasts and productionize the capability across all business units based on ML Ops processTranslate requirements into necessary technologies and development plan, guide the application of leading AI/ML practices in building and deploying scalable business solutionsDirect a team of data scientists and ML engineers to navigate, collaborate, and deliver production-grade code in a complex industrialized code baseOversee implementation, testing, and post-production maintenance of AI/ML modelsManage project timeline and achieve milestones
Elevate Enterprise Data Science capabilities
Monitor external data science trends, identify opportunities and implications, and proactively develop best-in-class processes and techniques to leverage data science across consumer touchpoints and business operationsPartner with business and functional stakeholders to ideate, define, and prioritize high impact data science use cases and initiatives for the CompanyPromote data science adoption across the Company through training, events, and consulting
Coach and develop enterprise and functional data science talents 
Attract, develop, and retain Enterprise Data Science team members; Coordinate data science talent management across functions, including career pathing, capability planning, and collaborative talent planningLead a team of Data Scientists, manage their capacity deployment, oversee the output from their work in terms of content, quality, and timeline, establish and steer collective and individual performance objectivesProvide guidance to data scientists on analytical and modeling choices to support their day-to-day activities
What we look for:
10 plus years of experience in business-facing data science and analytics roles3 plus years as an established leader of data science teams that successfully delivered data-driven solutions and in production settings (This role REQUIRES experience managing direct reports.)Demonstrated ability to establish vision and strategy and lead implementationTrack record of delivering analytics products and insights, and influencing business decisionsAbility to provide technical leadership across a variety of capabilities for business applications and commercial experience in building machine learning models in production settingsDeep understanding and experience with advanced statistics, time series forecasting, machine-learning models, and model architecture design & execution; experience in optimization / operations research is a plusDeep hands-on experience in building machine-learning models and ML Ops processes in a business contextExperience in building modern data science pipelines and deploying them to cloud environments, including data pipelines that ETL data from multiple sourcesProven experience supervising others developing industrialized data & modeling pipelinesExpertise with open-source data science and statistics packages, including machine learning and deep learning frameworks (TensorFlow, PyTorch, Scikit-Learn, Pandas, statsmodels, etc.)Proficiency in SQL and Python required; Pyspark / R / Scala a plusKnowledge of standard SDLC process and DevOps including version-control (Github/svn) and CI/CDExperience working with cloud and big data ecosystems (Azure/GCP/AWS, Spark, Hive, DataBricks)Experience using visualization tools (Power BI, Tableau, etc.) is a plusKnowledge of demand forecasting and supply chain operations is a plusExcellent communications skills: Ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; Ability to convey insight through storytellingSelf-starter comfortable with ambiguity: Problem solver; Able to identify needs, develop a plan of action, and implement; Excellent time and project management skillsStrong interpersonal, relationship building, and influence skillsDemonstrated ability to attract, hire, coach, and inspire talentMaster’s or PhD degree in Data Science, Computer Science, Statistics, or related quantitative discipline. Specialization or coursework in Data Science / ML / AI preferred
Workplace type:
Hybrid
We seek out and celebrate diverse backgrounds and experiences. We’re looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning.
At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here.
[U.S.]Additional Information:
At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes 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, and more.
We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area.
–Zone A: $138,100 - $277,400
–Zone B: $126,600 - $254,300
–Zone C: $115,100 - $231,200
All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process.
This job is also eligible for participation in Clorox’s incentive plans, subject to the terms of the applicable plan documents and policies.
Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times.