Senior, Data Scientist

Our Brand 

Macy’s, Inc. meets our Customer’s needs across our iconic brands—Macy’s, Bloomingdale’s and Bluemercury, served by nearly 100,000 colleagues. We offer competitive benefits, unlimited career paths and an unmatched culture. We know each person here is unique. We respect and invest in each individual to create growth, pride and satisfaction. When we are able to bring our amazing selves to work, it translates into a more abundant and wider array of ideas and energy for all to benefit from. Our success is built on amazing individuals, working together. 

Our culture and limitless career opportunities paired with our social purpose—to create a brighter future with bold representation for all—are imperative to our commitment to use our business and brand to tackle the barriers to representation so, together, we can realize the potential of every one of us. 

About Macy’s 

Now is an exciting time for a career at Macy’s, Inc. Join our team to help shape the future of a digitally led omnichannel retailer and become a leader in retail technology. Whether focused on store technology, supply chain technology, application security, merchandising systems, or the mobile app – you’ll have opportunities to grow your career while finding meaningful ways to make a difference. 

Do valuable work revolutionizing digitally-led omnichannel retail – Apply Today!

Job Overview

Enterprise Data & Analytics team is growing Macy’s capabilities in support of our mission to be a data - led, customer centric company. This team will focus on accelerating impact from analytics, coordinating an enterprise-wide roadmap, and ensuring proper data governance, engineering, and management. As a member of the enterprise machine Learning team, you will help to execute projects to build profitable lifetime customer relationships by embedding data & analytics at the heart of everything we do. The team will work on productionizing analytics and algorithm integration and development for use in business cases and establish norms, standards, and a data-driven culture throughout the organization. 

The Senior, Data Scientist will design, develop, and implement advanced data science models for priority business use cases across enterprise, such as online experience, marketing, merchandising, supply chain, finance, and store operations. The Senior, Data Scientist will apply cutting edge data science techniques to large amounts of data to drive actionable insights and develop intelligent and 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 communication 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

Who you are

• PhD Graduate with little to no work experience, or Master’s degree with 2-5 years of work experience in the role’s relevant technologies and field of expertise.

• 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