Merchandising Data Science Manager (AI/ML)

circlek

Tempe (AZ)

In loco

USD 140.000 - 210.000

Tempo pieno

9 giorni fa
Generatore di candidature

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Descrizione del lavoro

Circle K is seeking a Data Science Manager for Merchandising Category Analytics in Charlotte, NC. You will lead a high-performing team of data scientists, analysts, and ML engineers, driving analytics and AI solutions from ideation to deployment and value realization.

The role requires deep technical expertise, commercial acumen, and strong people leadership, with responsibilities spanning strategy, delivery, and governance across the Data & Analytics organization.

Competenze

  • Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline; an advanced business degree is an asset.
  • At least eight years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field, including three or more years in leadership roles delivering large-scale initiatives.

Mansioni

  • Shape the Data Science and AI portfolio to align with merchandising and enterprise priorities.
  • Partner with Merchandising and CIE leaders to identify high-value opportunities and translate needs into analytics and AI solutions.
  • Lead the design and deployment of scalable analytics solutions across pricing, assortment, forecasting, and category performance.
  • Define success metrics and demonstrate measurable business impact of Data Science investments.
  • Coach and develop data scientists and analysts while fostering technical excellence and collaboration.

Conoscenze

Python
SQL
R
Leadership
Agile
Cloud platforms

Formazione

Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline
Advanced business degree

Strumenti

Azure
Snowflake
Databricks

Descrizione del lavoro

Circle K is seeking a Data Science Manager for Merchandising Category Analytics in Charlotte, NC. You will lead a high-performing team of data scientists, analysts, and ML engineers, driving analytics and AI solutions from ideation to deployment and value realization.

The role requires deep technical expertise, commercial acumen, and strong people leadership, with responsibilities spanning strategy, delivery, and governance across the Data & Analytics organization.

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