Principal Data Scientist
Hybrid · Appleton, Wisconsin, United States
Job Summary
Senior data science leader to set technical direction and architect production-grade models for distribution and supply chain; will drive innovation, define R&D portfolio, mentor a team of data scientists, and collaborate with Engineering, Architecture, and business units to translate AI capabilities into value. Responsibilities include applying ML/AI techniques (including deep learning, RL, and generative AI), building scalable data pipelines on cloud platforms, deploying models with MLOps practices, and communicating outcomes to executives.
Required Qualifications
- Bachelor’s or Master’s degree in Industrial Engineering, Industrial Management, Operations Research, Data Analytics, Statistics, Economics, Computer Science, Business Administration, or a related field involving problem solving and critical thinking, or equivalent work experience
- 12+ years of relevant experience leading design and deployment of advanced statistical, ML, and AI models in distribution/supply chain or similarly complex domains
- Strong data visualization skills for executive decision-making
- Track record of delivering measurable business outcomes with data science/AI solutions in distribution/supply chain or similar environments
- Proficiency in SQL, Python and/or R, modern ML frameworks (PyTorch, TensorFlow, scikit-learn), and orchestration tools (Airflow, Dagster)
- Experience with cloud data platforms (Azure Data Factory/Synapse/Fabric, BigQuery, Dataflow) and open table formats like Iceberg
- Expertise in advanced statistical concepts and modern AI/ML techniques (transformers, RL, generative AI/LLMs)
- Ability to mentor and grow data scientists at multiple levels
- Strong collaboration and communication skills to influence senior leadership
- U.S. work authorization without sponsorship required for employment
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