Senior Data Scientist
On-siteBeaverton, Oregon, United States
Job Summary
Design, develop, and productionize optimization and analytical models to support supply chain decisions in manufacturing, materials sourcing, and supply planning. Apply statistical modeling and simulation techniques to complement optimization solutions, then conduct performance analysis, scenario testing, and sensitivity analysis to support decision-making under uncertainty. Build and maintain end-to-end analytical pipelines covering data ingestion, feature engineering, model training, validation, and deployment. Collaborate with global supply chain partners to assess business requirements, determine optimal modeling techniques, and deliver technical projects from inception to completion while exploring cost drivers and sustainability goals.
Required Qualifications
- Advanced quantitative degree (Statistics, Mathematics, Operations Research, Computer Science or related field) and at least 5 years of related industry experience as data scientist or applied scientist, or Bachelor's degree and 7-12 years related work experience
- Deep knowledge of and hands-on ability in data science and optimization methodologies, including classical models, artificial intelligence and machine learning algorithms, and linear and non-linear optimization techniques
- Hands-on experience building optimization models using Python and commercial solvers (e.g., Gurobi, CPLEX, or equivalent)
- Advanced skills in programming languages (particularly Python and SQL) and ability to apply them for data acquisition, preprocessing, modeling, and monitoring
- Familiarity with the wide range of data science/analytics software tools (e.g., Jupyter Notebook, SQL consoles, Hadoop, Spark) and cloud computing platforms (e.g., Amazon Web Services, Databricks)
- Experience in building, training, scoring, tuning and maintaining predictive models in production at enterprise scale and familiarity with mainstream packages relevant to managing all stages of the model lifecycle
- Deep knowledge and experience in supply chain, supply planning, manufacturing & sourcing, and logistics
- Some hands-on ability and knowledge in data engineering, software engineering, and at-scale production
- Proven track record of working cross-functionally and having a consulting mindset to critically evaluate complex business information from multiple perspectives, including questioning assumptions and validity
- Familiarity with the Agile development process and demonstrable ability to prepare a project plan, communicate the plan to the team and break the work down to trackable tasks
- Excellent written and verbal communication skills, including ability to develop and deliver presentation
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