Lead Data Scientist - Digital + Customer

Bloomingdale's Inc.; New York (NY); On-site; USD 151,000 - 253,000; Full time

Job summary

Join a leading company as a Lead Data Scientist, where you'll design and implement analytics and machine learning models that drive business outcomes. This role provides the opportunity to collaborate across teams and build a data-driven culture while enjoying competitive pay and benefits.

Benefits

Performance-based incentives

Annual merit review

Employee Assistance Program

401(k) match

Comprehensive health and wellness coverage

Qualifications

• 5-8 years of experience applying data science in business environments.
• Experience in advanced analytics and machine learning.

Responsibilities

• Design, develop, and implement scalable analytics models and machine learning solutions.
• Collaborate with business units to generate actionable insights.
• Foster a data-driven culture by mentoring colleagues.

Skills

Python

R

SQL

Communication

Agile Problem Solving

Curiosity & Innovation

Education

Bachelor’s degree in related field

PhD preferred

Job description

Lead Data Scientist - Digital + Customer

New York, NY, United States

Full time Schedule

$151,320

-

$252,120

Annually*

* based on job, location, and schedule

Job Description

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 Lead, Data Scientist plays a critical role in advancing Macy’s enterprise-wide data and analytics strategy. This role designs and deploys advanced analytics and machine learning models that drive business decisions and customer-centric outcomes. By embedding data science into high-impact use cases, this role helps accelerate innovation and deliver measurable value across the organization.

What You Will Do

• Design, develop, and implement scalable analytics models and machine learning solutions for priority business use cases.
• Collaborate with business units to generate hypotheses, define data needs, and deliver actionable insights.
• Build predictive models and high-impact visualizations to support decision-making.
• Partner with Data Engineering and Architecture teams to implement data pipelines and enterprise-wide data assets.
• Ensure analytics solutions comply with standards and best practices in methodology and coding.
• Support the scale-up and rollout of analytics applications in collaboration with Technology teams.
• Foster a data-driven culture by mentoring colleagues and promoting analytics literacy across the organization.
• Stay current on emerging data science techniques and tools to continuously improve capabilities.
• 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 & Modeling: Designs and deploys predictive models using statistical and machine learning techniques. Skilled in tools such as Python, R, SQL, or similar platforms used for data analysis and modeling.

Data Engineering Collaboration: Works with engineering teams to build scalable data pipelines and reusable data assets.

Business Partnership: Translates complex analytics into business value through collaboration with cross-functional teams.

Communication: Delivers clear, compelling insights through written, verbal, and visual storytelling.

Agile Problem Solving: Identifies and resolves data issues quickly to maintain momentum on analytics initiatives. Comfortable working under shifting priorities and adapting to business needs in real time.

Curiosity & Innovation – Demonstrates a continuous learning mindset and passion for exploring new approaches to data science and analytics.

Who You Are

• Candidates with a bachelor’s degree or equivalent work experience in a related field are encouraged to apply. PhD preferred.
• 5–8 years of experience applying data science in business environments.
• 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:

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

Access the full menu of benefits offeringshere .

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.

TECH00

• This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment.Click here to see details on benefits.

Job Info

• Job Identification 76879
• Job Category Technology
• Posting Date 06/23/2025, 03:22 PM
• Locations 151 West 34th Street, New York, NY, 10001, US