Top Food Data Science Jobs

The Senior AI & Data Scientist leads AI model development, data preparation, analysis, and deployment to enhance decision-making in the supply chain.

The Data Science Manager leads a team delivering business insights through data science techniques, provides leadership, develops models, and influences strategic decisions.

Partner with stakeholders to define analytics use cases, integrate and clean cross-domain data, perform EDA, build/validate/deploy predictive and ML models, implement optimization algorithms, manage analytics datasets, document methods, and deliver actionable insights to improve CPS operations and scalability.

The Senior Manager, Data Science/ML will lead a team to enhance product innovation through data science, focusing on ML and experimentation frameworks that boost customer engagement. Responsibilities include defining product strategy, building ML models, and collaborating with cross-functional teams to shape product roadmaps.

The Sr Data Scientist leads model development and collaboration with cross-functional teams, mentoring junior members while managing multiple data science projects.

The Senior Data Scientist at Fetch will develop and scale data science capabilities, architect predictive models, and influence product strategy through collaboration and experimentation. They will lead initiatives focused on engagement, churn, and business impact measurement using advanced analytics and machine learning tools.

The posting contains only the company's overview and equal-opportunity statement. No specific Data Science Intern responsibilities, tasks, or deliverables are provided.

Lead a team delivering advanced analytics, statistical modeling, and ML to inform marketing, pricing, demand and sales decisions. Partner cross-functionally, manage complex internal/external datasets, maintain analytics infrastructure, drive automation, and translate model outputs into clear business recommendations while developing analytics talent and standards.

Lead forecasting, budgeting, LTV and retention modeling, and advanced analytics for eCommerce. Drive AI/LLM adoption, build prototypes and scalable solutions, validate A/B tests, partner cross-functionally, and translate analyses into executive-level narratives to inform strategic decisions.

Serve as a strategic data science advisor to senior marketing leaders: translate business problems into data science solutions, develop and deploy statistical and ML models, interpret results, craft executive-level storytelling, embed test-and-learn practices, and build analytical capabilities across the marketing organization.