Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the creation of data, analytics, and AI solutions for the SIOP transformation.

• Contribute to achieving measurable business outcomes related to inventory and customer service.

• Collaborate with senior team members and business partners to frame supply chain challenges.

• Prepare and analyze operational datasets.

• Design and assess machine learning, statistical, forecasting, and time-series models.

• Conduct exploratory data analysis, data cleaning, feature engineering, validation, and performance assessment.

• Convert analytical discoveries into actionable insights and recommendations for business stakeholders.

• Provide support for AI-driven applications and tools, including Generative AI and Large Language Model solutions.

• Participate in end-to-end data science projects from defining problems and preparing data to modeling, testing, visualization, and deployment.

• Create and maintain analytical datasets and data transformation workflows utilizing Python and SQL.

• Integrate data from various enterprise systems.

• Develop dashboards, analytical applications, and decision-support tools.

• Adhere to standards for testing, version control, documentation, monitoring, and maintainable coding practices.

• Work collaboratively with Product, Engineering, Operations, Supply Chain, and business stakeholders.

• Contribute to data products such as Snowflake tables, forecasting models, inventory analytics, dashboards, and AI-driven tools.

• Validate outputs, identify data or model discrepancies, document solutions, and support ongoing improvements.

• Enhance data quality by profiling operational datasets and investigating issues.

• Effectively communicate analytical results and facilitate the adoption of data-driven tools and recommendations.

⛳️ Requirements

• Bachelor’s degree.

• Over 1 year of experience in data science, analytics, engineering, or a related quantitative role utilizing SQL and/or Python for data analysis, preparation, or analytical solution development.

• Relevant internships, co-op positions, or research experience may be considered.

• Must possess authorization to work in the U.S. on a full-time basis without sponsorship currently or in the future.

• Must be capable of performing work subject to ITAR/EAR regulations.

• Requires mobility within a manufacturing plant environment while utilizing Personal Protective Equipment.

• Must frequently sit, stand, and walk.

• Must be able to lift and carry up to 15 pounds.

• Must be able to spend extended periods sitting at a desk and using a computer.

• Must be willing to travel between locations or to suppliers up to 25% of the time.

🏝️ Benefits

• Health and disability insurance.

• 401(k) match.

• Flexible spending accounts.

• Employee Assistance Program (EAP).

• Paid time off.

• Company-paid holidays.