Senior Data Scientist - Supply Chain Operations
Required skills
degree or equivalent, 7+ years of relevant experience, strong hands-on experience building and deploying data science and machine learning solutions, deep knowledge of warehouse operations and supply chain systems, applied industrial engineering mindset, real-world operations experience, ability to solve ambiguous business problems end to end, strong stakeholder engagement and communication skills, expertise in Python, expertise in SQL
Preferred skills
experience with platforms such as Databricks or Snowflake, experience building production-grade pipelines
Technologies
Databricks, Flow, Machine Learning, Python, SQL, Snowflake, AI, ERP
Responsibilities
design and deliver end-to-end data science solutions for complex warehouse challenges, optimize labor planning, scheduling, wave batching, release decisions, flow, congestion, predictive maintenance, and exception detection, develop models that directly shape operational decisions through optimization logic and recommendations, partner with distribution center operators and subject matter experts to embed models into day-to-day workflows, apply industrial engineering methods such as capacity planning, constraint analysis, workload balancing, throughput optimization, queueing, and flow modeling, translate operational issues into mathematical models, simulations, and heuristics, extend solutions across transportation, inventory, customer, and quality domains, build and productionize machine learning models, optimization engines, simulation frameworks, and data pipelines, own the full model lifecycle, including development, testing, deployment, and monitoring, convert analytics into operational actions and measurable business results
Seniority
Senior
Domain
Supply Chain Operations, warehouse operations, distribution center
