BE PART OF AN AMAZING STORY.

Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. .

SKILLS YOU WILL NEED

Advanced Analytics & Machine Learning – Expertise in developing and implementing predictive models, deep learning, and GenAI solutions.
Programming & Data Science Tools – Proficiency in Python, R, SQL, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Cloud Computing – Hands-on experience with Google Cloud Platform (GCP) and familiarity with cloud-based analytics services.
Big Data Processing – Strong knowledge of distributed computing frameworks such as Spark, Hadoop, or Databricks.
Statistical & Mathematical Expertise – Deep understanding of regression, clustering, time-series analysis, and other analytical methods.
Data Engineering & Pipeline Development – Ability to define batch/real-time data needs, evaluate data quality, and build scalable pipelines in collaboration with Data Engineering teams.
Visualization & Storytelling – Experience creating compelling visualizations to communicate insights using tools like Tableau, Power BI, or Matplotlib.
Business Acumen – Ability to translate complex data science concepts into actionable business insights that support pricing, merchandising, and operational decisions.
Cross-Functional Collaboration – Experience working with business units, data engineers, and tech teams to implement data-driven solutions.
Communication & Storytelling – Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Problem-Solving & Innovation – A proactive, solutions-oriented mindset with the ability to tackle ambiguous problems.
Adaptability & Continuous Learning – Passion for staying up to date with emerging AI/ML technologies, including Generative AI and evolving customer-centric models.

ABOUT US

This is a great time to join Macy’s! Whether you’re helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people’s lives.

JOIN US AND HELP WRITE THE NEXT CHAPTER IN OUR STORY - APPLY TODAY!

This job description is not all-inclusive. Macy’s, Inc. reserves the right to amend this job description at any time. Macy’s, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.

• Develop and implement advanced analytics solutions using scalable, reusable code and models to address business challenges.
• Partner with Business Units to generate and test hypotheses aligned with priority use cases.
• Adhere to analytics standards, tailoring methodologies (e.g., ML, AI, descriptive analytics) to meet specific use case needs.
• Define and assess batch or real-time streaming data requirements, ensuring data quality and effective extraction in a Big Data environment.
• Identify internal and external data needs, establish quality measures, and evaluate suitability for use.
• Build predictive models to uncover opportunities that drive business impact.
• Create high-impact visualizations to effectively communicate data-driven insights.
• Collaborate with Data and Solution Architecture teams to implement efficient data pipelines and analytics tools.
• Work with Data Engineering teams to develop enterprise-wide data assets that accelerate analytics delivery and enhance machine learning models.
• Support Tech teams in scaling and deploying analytics applications.
• Foster a data-driven culture by promoting analytics adoption and facilitating discussions on priority use cases.
• Champion data-driven decision-making at Macy’s, increasing digital IQ across Business Units.
• Empower business users to leverage insights for maximum impact.
• Stay updated on emerging data science methodologies and best practices.
• Proactively identify and address data issues to ensure accuracy and reliability.
• Develop and deploy algorithms and methodologies for analytics use cases.
• Ensure consistent application of coding and methodology best practices.
• Establish metrics to evaluate model effectiveness in achieving business objectives.
• Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities
• In addition to the essential duties mentioned above, other duties may be assigned.