The Clorox Company · 1 week ago

Senior Data Scientist

Pleasanton, CA

Full-time

Onsite

Senior Level

$76/hr - $81/hr

5+ years exp

Wonder how qualified you are to the job?

ManufacturingMedical

Actively Hiring

Insider Connection @The Clorox Company

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Deliver end-to-end ML and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integration.

Do first line and second line model and modeling code base maintenance, incl. advanced debugging whenever necessary; coordinate with engineers for specialized back-end and UI upgrades / debugging.

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.

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningStatisticsData SciencePythonScalaJavaC++SQLBig DataSparkCode CollaborationData PipelinesSDLCDevOpsAzureDatabricksCloud ComputingTechnical DesignData ManagementBusiness ExperienceProblem-SolvingCreativityAutonomyProject ManagementGreen CardNo travel required8 AM to 5 PM

Required

Deep understanding of and experience with ML models and ML engineering, advanced statistics, time series forecasting, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases.

Proficiency in Python (required) / Scala / Java / C++ and SQL. Knowledge of big data frameworks like Spark is an asset.

Experience with navigating, collaborating on, and delivering production-grade code in large, complex industrialized code bases.

Experience with building, deploying, and maintaining industrialized data pipelines.

Experience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CD.

Experience in Azure and Databricks (or other cloud equivalents)

Autonomy and creativity with an ability to design suitable technical solutions to solve business problems.

Understanding of design and architecture principles is a plus.

Experience in data management, e.g., wrangling, extraction, normalization.

Strong project management skills to stay on top of the timelines and deliverables.

Bachelor's degree in Computer Science, Statistics, Data Science, Applied Mathematics, or related quantitative disciplines (Master's degree preferred).

5+ years of overall data science and machine learning experience.

3+ years business experience in a data science or machine learning role in the industry (must have demonstrated working with business units).