Data Scientist - Supply Chain Experience Required - (B3)

About the Role

Key Responsibilities

• Work in project teams as a subject matter expert to design and develop methods, processes, and systems for consolidating and analyzing structured and unstructured, diverse 'big data' sources.
• Perform complex statistical and data-mining analysis using tools such as Python libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn), R, SAS, and MATLAB, including data acquisition system design, data structure, and database design.
• Interface with internal customers for requirements analysis and special requests; derive insights and work with business units to determine actions and KPIs.
• Develop complex analytical models, algorithms, and automated processes using SQL and Python to cleanse, integrate, and evaluate large datasets.
• Collaborate with product and service teams to identify key questions and issues for data analysis and experiments.
• Communicate insights and findings from analysis and experiments to product, service, and business management for incorporation into business process measurement.

Requirements

• 7+ years of experience in a Data Scientist role.
• Master's degree in engineering, Operations Research, Computer Science, Statistics, Information Systems, or another quantitative field.
• 5+ years of Supply Chain experience.
• Proficiency in performing complex statistical and data-mining analysis using tools such as Python libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn), R, SAS, and MATLAB.
• Experience in developing and implementing machine learning models to optimize supply chain processes, clustering, similarity models, causal inference, and recommendation engines.
• Ability to create sophisticated visualizations using tools like Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn.
• Expertise in building simulation models to improve efficiency and reduce costs in supply chain operations.
• Hands-on experience with big data technologies such as Hadoop, Databricks, Apache Spark, and data workflows.
• Excellent SQL and Excel skills, with knowledge of data acquisition systems, data structure, and database design.
• Understanding of user interface and user experience principles to improve analytical tools and dashboards.

Nice to Have

• Knowledge in Supply Chain Circular Economy - Reverse Value Chain process.
• Published dashboards in Tableau Public with visualization solutions for business problems.
• Hands-on experience in Databricks ETL, data ingestion, business intelligence, and AI.
• Experience with recommendation engines and similarity models.
• Experience in causal inference and forecasting techniques.

Qualifications

• Master's degree in a relevant quantitative field.
• 7+ years of experience in data science roles.
• 5+ years of supply chain experience.

Benefits & Perks

• Salary range of $142,500.00 - $196,500.00.
• Comprehensive benefits package including health, wellness, and personal growth programs.
• Participation in bonus and stock award programs, as applicable.
• Relocation assistance.
• Work environment that encourages learning, development, and career growth.