Data Scientist
Core
Apply advanced analytics and statistical modeling to optimize supplier risk mitigation decisions within the Supply Chain organization. (via careerplan.io/jobs/R30967-data-scientist-at-polaris)
Role type
Data Scientist (Supply Chain Analytics)
Builds
Predictive models and analytics solutions for supplier risk management
Domain
Manufacturing / Supply Chain / Risk Management
Deliverable
production ML models
Required skills
Statistical modeling, Predictive analytics, Data mining, SQL, Python, R, Snowflake, Tableau, Power BI, Cloud data processing
Preferred skills
Neural networks, Time series analysis, Decision trees, Cross-functional collaboration
Technologies
SQL, R, Python, Snowflake, Tableau, Power BI
Responsibilities
Partner with stakeholders to develop data-driven solutions for supplier risk; Extract, cleanse, and integrate large datasets from multiple sources; Develop and validate predictive models using statistical methods; Deploy model results into production on cloud and edge platforms; Communicate analytical findings to technical and non-technical audiences; Document methodologies and gather feedback for continuous improvement
Seniority
Mid-level, hands-on IC
