Principal, Data Scientist - Digital + Customer

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.

Job Overview

The Principal, Data Scientist plays a key role in advancing Macy’s mission to become a data-led, customer-centric company. As a member of the Enterprise Data & Analytics team, they help accelerate the impact of analytics, support the coordination of an enterprise-wide roadmap, and ensure effective data governance, engineering, and management.

As part of the enterprise Machine Learning team, the Principal, Data Scientist executes high-impact projects that build profitable, long-term customer relationships by embedding data and analytics into every aspect of the business. They lead the design, development, and implementation of advanced data science models and machine learning applications for critical business use cases across the enterprise—including online experience, marketing, merchandising, supply chain, finance, and store operations.

They apply cutting-edge data science techniques to large datasets to extract actionable insights and develop scalable, intelligent AI solutions. In doing so, they help productionize analytics and algorithms, establish data-driven norms and standards, and contribute to a culture of innovation and analytical excellence across the organization.

What You Will Do

• Execute advanced analytics using scalable, reusable code and models that effectively solve business problems.
• Collaborate closely with business unit partners to generate and test hypotheses aligned to priority use cases.
• Adhere to analytics standards, including tailored methodologies based on use case needs (e.g., machine learning, AI, descriptive analytics).
• Define data needs for batch and real-time streaming use cases, assess data quality, and extract/manipulate data within a big data environment.
• Identify internal and external data sources, assess quality, and determine suitability for specific analytical objectives.
• Develop and validate predictive models to support key business initiatives.
• Create impactful visualizations to clearly communicate insights derived from data.
• Partner with Data and Solution Architecture teams to implement data pipelines and tools that enable efficient execution of analytics.
• Work with Data Engineering teams to develop enterprise-wide data assets that accelerate use case delivery and enhance machine learning model training.
• Collaborate with Technology teams to scale and roll out analytics solutions across the organization.
• Manage multiple analytics projects, tracking activities and deliverables to ensure timely execution.
• Provide technical guidance and mentorship to Lead Data Scientists in partnership with the Senior Director.
• Demonstrate technical excellence by continuously enhancing subject matter expertise and staying current on analytical tools, techniques, and practices.
• Champion a data-driven culture by increasing awareness, knowledge, and adoption of analytics across business units.
• Proactively identify data issues and take swift action to resolve them.
• 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.

Skills You Will Need

Advanced Analytics & Machine Learning Expertise: Proficiency in developing predictive models, segmentation, regression, clustering, time-series analysis, and machine learning techniques.

Big Data Proficiency: Ability to define and manipulate large-scale batch and real-time streaming data in a big data environment.

Programming & Tools: Fluency in analytics languages and platforms such as Python, R, SQL, and Google Cloud Platform (GCP), with scalable, reusable coding practices.

Data Engineering Collaboration: Experience working with architecture and data engineering teams to implement data pipelines and build enterprise-wide data assets.

Visualization & Storytelling: Ability to translate complex findings into impactful visualizations and data narratives for a business audience.

Business-Oriented Analytics: Skilled in aligning analytics with strategic business objectives, generating hypotheses, and solving high-impact business problems across functions (e.g., marketing, finance, supply chain).

Productionizing Models: Experience embedding models into business workflows and scaling solutions enterprise-wide.

Innovation & Thought Leadership: Ability to contribute to enterprise data strategy, norms, and a data-driven culture.

Clear & Effective Communication: Strong written and verbal communication skills; able to present complex topics to technical and non-technical audiences.

Stakeholder Engagement: Capable of building strong relationships and facilitating collaboration across technical and business teams.

Mentorship: Provides technical guidance and oversight to other data scientists, partnering with leadership to grow team capabilities.

Cross-Functional Collaboration: Proven ability to create alignment across departments and remove barriers to collaboration.

Project Management: Skilled at managing multiple analytics projects, meeting deadlines, and ensuring quality outcomes.

Leadership Presence: Demonstrates confidence, integrity, persistence, and strategic influence in a fast-paced environment.

Agility: Quickly identifies data issues and adapts solutions to changing business needs.

Who You Are

• Candidates with a bachelor’s degree or equivalent work experience in a related field are encouraged to apply. 
• Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.
• Able to work a flexible schedule based on department and company needs.

What We Can Offer You

Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities. 

Some additional benefits we offer include:

• Merchandise discounts
• Performance-based incentives
• Annual merit review
• Employee Assistance Program with mental health counseling and legal/financial advice
• Tuition reimbursement

Access the full menu of benefits offerings here. 

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. 

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