Lead Data Scientist - Customer + Digital
Indexed description
Job Overview
The Lead Data Scientist advances Macy’s enterprise data science strategy by leading complex initiatives that transform customer experience and business performance. This role manages group work, mentors data scientists, and partners with senior stakeholders to embed AI-driven solutions into critical workflows. By ensuring scalability and proof of value (POV), the Lead Data Scientist accelerates innovation and delivers measurable outcomes across the organization.
What You Will Do
- Lead the design and deployment of advanced data science and AI models for enterprise use cases that solve complex business challenges and influence strategic decisions.
- Guide teams in applying Generative AI and Large Language Models (LLMs) to create intelligent, customer-centric solutions.
- Oversee hypothesis generation, data requirements, and model development to ensure alignment with business priorities.
- Evaluate proof of value (POV) for data science initiatives, determining scalability and pivoting strategies when needed.
- Partner with senior stakeholders to translate analytics into actionable strategies that drive retail innovation.
- Collaborate with Data Engineering and Architecture teams to implement robust, scalable data pipelines and enterprise data assets.
- Ensure responsible AI practices, including governance frameworks and bias mitigation, in all deployed solutions.
- Mentor and develop data scientists, fostering a culture of collaboration, technical excellence, and continuous learning.
- Communicate insights through compelling visualizations and clear storytelling to influence decisions.
- Stay ahead of emerging data science and AI trends to enhance Macy’s capabilities and competitive advantage.
- Technical Acumen: Proficient in Python, R, SQL, and cloud platforms such as Google Cloud Platform; experienced with big data tools (Spark, Hadoop) and visualization tools (Tableau, Power BI); understands machine learning concepts and generative AI applications.
- Stakeholder Management: Builds strong partnerships with business leaders to embed data science into decision-making processes and ensure adoption of solutions.
- Communication: Delivers clear, compelling insights through written, verbal, and visual storytelling to diverse audiences.
- Brings 5+ years of experience applying data science in business environments, including experience leading group work and mentoring others; advanced degree preferred.
- Demonstrates fluency in advanced algorithms, statistical methods, and AI techniques.
- Experienced in regression, clustering, time-series analysis, and machine learning.
- Comfortable influencing senior stakeholders and managing priorities in fast-paced 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.
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
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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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. Additional benefit details are available at macysJOBS.com.
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