Senior 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 Senior Data Scientist designs, develops, and implements advanced data science models for priority business use cases across the enterprise. This role collaborates with cross-functional teams to identify opportunities where data science can add value, applying cutting-edge AI techniques to large datasets to drive actionable insights and develop intelligent, scalable AI solutions. 

What You Will Do

• Execute best-in-class advanced analytics with scalable and reusable codebase and models that solve business problems.
• Coordinate closely with Lead & Principal Data Scientists to generate and test hypotheses that align with priority use cases.
• Comply with analytics standards, including guidelines for tailoring analytics methodologies to specific use case needs (e.g., ML, AI, descriptive analytics).
• Define batch or real-time streaming data needs, evaluate data quality, and extract/manipulate data in a "Big Data" environment.
• Define internal and external data needs, quality measures, and suitability for use.
• Support the building of predictive models to identify opportunities to provide further support to Business Units.
• Generate high-impact visualizations to communicate findings generated from data.
• Work with Data and Solution Architecture teams as required to implement data pipelines and tools to ensure efficient and seamless execution of analytics.
• Support Lead & Principal Data Scientists to build enterprise-wide data assets that will accelerate delivery of new use cases and help train machine learning models.
• 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

Technical Expertise: Proficient in complex algorithms and analytics methodologies across multiple platforms and languages, including Google Cloud Platform.

Analytical Skills: Strong understanding of core analytical and statistical methods, including regression, segmentation/clustering, predictive modeling, time-series analysis, and machine learning techniques.

Communication: Excellent verbal and written communication skills to convey complex information clearly and effectively to executive stakeholders.

Collaboration: Demonstrates excellent leadership, facilitation, and interpersonal skills, with the ability to work across functional lines and at many levels.

Creativity: Ability to think creatively, strategically, and experiment with emerging technologies.

Who You Are

• Data scientist fluent in complex algorithms and analytics methodologies across multiple platforms and languages, including Google Cloud Platform.
• Analytics expert with experience collaborating with business functions to deliver solutions that support decision making.
• Understanding of core analytical and statistical methods, including regression, segmentation/clustering, predictive modeling, time-series analysis, and machine learning techniques.
• Excellent written and verbal communication skills with ability to read, write and interpret business and technical documents.
• Practices open and continuous communication, values keeping others informed, effectively presenting information in a clear, concise manner.
• Excellent leadership, facilitation, and interpersonal skills, with the ability to work across functional lines and at many levels.
• Ability to think creatively, strategically, and technically.
• Ability to work a flexible schedule based on department and Company needs.
• Provide support for business users to leverage insights and provide high value impact.
• Maintain an up-to-date view on methods being used in the data science community.
• Bolster awareness, knowledge and conviction around data-driven practices and behaviors, increasing digital IQ of Business.
• 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.

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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