Lead Supply Chain Data Scientist

Remote position

*No opportunity to transfer or sponsor visa's now or in the future*

Our Global Data & Analytics (D&A) team is the hub of harvesting and analyzing data to drive strategic business decisions for our brands. By collaborating with partners across a broad variety of business functions, associates on our D&A team provide recommendations that allow our teams to push boundaries and stay at the forefront of retail trends.

The Lead Supply Chain Data Scientist will sit on the data science team within D&A, serving as the subject matter expert for all data science initiatives within the supply chain functional area, including network optimization, transportation & fulfillment optimization, DC logistics, visibility & transparency, etc.

What Will You Be Doing?

• Develop and implement data science solutions to optimize supply chain operations, including but not limited to, transportation, logistics, network optimization, visibility and transparency, etc.
• Mentor junior data scientists or data science interns to develop models, algorithms, and visualizations to improve supply chain processes.
• Collaborate with cross-functional teams to define and analyze key performance indicators (KPIs) to monitor and measure the performance of supply chain data science products.
• Work with stakeholders to identify areas for process improvement; develop and implement solutions that align with business objectives.
• Stay current with industry trends and emerging technologies to ensure the supply chain organization is leveraging the latest advancements in data science.
• Vet machine learning components with 3rd-party tools in the supply chain space, evaluating their performance and providing recommendations to help drive procurement decisions.
• Communicate complex models and data-driven insights to non-technical stakeholders.

What Do You Need To Bring?

• Highly proficient in data processing and modeling languages, such as SQL, Python or R
• Ability to simplify complexed technical topics and distill down for a business audience
• Strong written and verbal communication skills
• Experience operating in an agile environment
• Strong understanding of various data science models and their applications to the business (regression, clustering, classification, optimization, recommendation, NLP, etc.); understanding of demand forecasting & inventory optimization models a plus
• Bachelor's degree required (post-graduate preferred) in disciplines related to data science, data analytics, mathematics or engineering, or other STEM fields.
• Strong problem-solving skills and the ability to think creatively to develop innovative solutions to complex supply chain problems.
• 5-7 years of experience in data science, with a focus on supply chain operations and management; retail environment a plus
• Experience in building and implementing data science products in cloud environments (Azure, Snowflake, Databricks, etc.)
• Basic understanding of data engineering concepts

*No recruiters please*