Data Scientist, SharkNinja

• Bachelor’s or Master’s degree in Data Science, Supply Chain Management, Operations Research, Statistics, Mathematics, or a related field
• 3+ years of experience in data science, analytics, or a similar role (preferably in a supply chain or logistics setting)
• Strong proficiency in programming languages (e.g., Python, R, SQL)
• Experience with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, Google Cloud)
• Familiarity with machine learning frameworks and predictive modeling
• Excellent problem-solving, analytical, and communication skills
• Ability to work in a fast-paced, cross-functional environment and manage multiple projects

Desirable

• We are seeking a skilled Data Scientist to support our BI & Analytics team supporting Global Operations and Finance by leveraging data science, analytics, and predictive modeling
• The successful candidate will provide operational and financial insights into our logistics, procurement, forecasting, inventory management, and supplier performance to optimize efficiency, reduce costs, and enhance decision-making
• Analyze large datasets related to global operations and finance (e.g., inventory, forecast, spending, and logistics performance)
• Develop predictive models to forecast demand, inventory levels, and procurement needs
• Use AI, statistical methods, machine learning algorithms, and simulation techniques to optimize supply chain performance
• Identify bottlenecks and inefficiencies in the supply chain, order management, logistics, and inventory balancing and recommend data-driven solutions
• Analyze operational workflows to improve processes and reduce operational costs
• Develop and implement dashboards to track key performance indicators (KPIs) and supply chain metrics in real-time
• Work closely with cross-functional teams (procurement, supply/demand, finance, order management, logistics, manufacturing) to identify data needs and collaborate on problem-solving initiatives
• Present findings and actionable insights to stakeholders through reports and data visualizations
• Work with IT and data teams to ensure data integrity, streamline data pipelines, and enhance data storage solutions
• Design and maintain supply chain databases and data repositories to ensure continuous monitoring of performance metrics
• Use data to assess and mitigate risks related to supply chain disruptions, supplier performance, and market changes
• Create simulation models to anticipate and prepare for potential supply chain challenges