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Lead Data Scientist - Digital + Customer

Macy's

Salary not specified
Aug 24, 2025
New York, NY, US
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Macy's is looking to advance its enterprise-wide data and analytics strategy by designing and deploying advanced analytics and machine learning models that drive business decisions and customer-centric outcomes, accelerating innovation and delivering measurable value.

Requirements

  • 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.
  • Works with engineering teams to build scalable data pipelines and reusable data assets.
  • Applies data science techniques using platforms such as Google Cloud Platform.
  • Identifies and resolves data issues quickly to maintain momentum on analytics initiatives.
  • Demonstrates a continuous learning mindset and passion for exploring new approaches to data science and analytics.

Responsibilities

  • Design, develop, and implement scalable analytics models and machine learning solutions for priority business use cases.
  • 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.
  • Stay current on emerging data science techniques and tools to continuously improve capabilities.

Other

  • Collaborate with business units to generate hypotheses, define data needs, and deliver actionable insights.
  • Foster a data-driven culture by mentoring colleagues and promoting analytics literacy across the organization.
  • Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities.
  • 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.