Data Scientist - Merchandising and Pricing

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 Data Scientist designs, develops, and implements advanced data science models for priority business use cases across the enterprise, including online experience, marketing, merchandising, supply chain, finance, and store operations. The Data Scientist applies cutting-edge data science techniques to large datasets, driving actionable insights and developing intelligent, scalable AI solutions.

What You Will Do

• Execute advanced analytics using scalable, reusable code and models that address business challenges.
• Collaborate closely with Senior and Lead Data Scientists to generate and test hypotheses aligned with priority use cases.
• Adhere to analytics standards, ensuring methodologies (e.g., ML, AI, descriptive analytics) are tailored to specific use case requirements.
• Define batch or real-time streaming data needs, assess data quality, and extract/manipulate data within a "Big Data" environment.
• Identify internal and external data needs, establish quality metrics, and evaluate suitability for use.
• Support the development of predictive models to uncover opportunities, drive value, and enhance efficiencies for business units.
• Create impactful visualizations to communicate insights derived from data analysis.
• Collaborate with Data and Solution Architecture teams to implement data pipelines and tools, ensuring efficient analytics execution.
• Assist Senior and Lead Data Scientists in building enterprise-wide data assets that accelerate new use cases and support machine learning model training.
• Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities

Skills You Will Need

Advanced Data Science Expertise: Proficiency in designing and implementing complex algorithms, statistical methods, and machine learning models across various platforms, including Google Cloud Platform. Familiarity with techniques such as regression, segmentation, clustering, predictive modeling, time-series analysis, and machine learning.

Big Data Manipulation: Ability to work within a "Big Data" environment, including defining data needs, evaluating data quality, and extracting/manipulating batch or real-time streaming data.

Programming and Analytics: Strong coding skills with a focus on creating scalable, reusable code and models to address business challenges. Expertise in various programming languages and platforms is essential for handling advanced analytics.

Collaboration and Communication: Effective collaboration with Senior and Lead Data Scientists, as well as Data and Solution Architecture teams, to align analytics with business needs and ensure smooth execution of projects. Strong verbal and written communication skills to present complex data insights clearly to both technical and non-technical stakeholders.

Data Visualization: Proficiency in generating impactful visualizations that clearly communicate insights and findings derived from large datasets.

Strategic Thinking and Problem-Solving: Creative and analytical mindset with the ability to identify data issues, develop actionable insights, and take strategic actions to remediate problems.

Interpersonal Skills: Strong interpersonal skills for working across functions and at different levels within the organization, ensuring effective communication and collaboration.

Business Acumen: Ability to translate data science outcomes into business value, supporting initiatives in areas such as marketing, merchandising, supply chain, and finance to drive efficiencies and improve operations.

Continuous Learning: Commitment to enhancing personal skills and capabilities through ongoing professional development.

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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