Data Scientist Lead at Macy S

About: Macy’s is proudly America’s Department Store. For more than 160 years, Macy’s has served generations at every stage of their lives. Our customers come to us for fashion, value and celebration.
Macy’s Marketing delivers a healthy, profitable customer franchise that is growing through engagement and acquisition. Our team leads strategic initiatives such as personalization and monetization, as well as our Star Rewards Loyalty program.
Take the helm of one of the world’s most beloved brands and help bring it to life for our customers. As part of our team, you’ll own, guide, and direct marketing efforts, motivating our customers to strengthen their relationship with our brand. Constantly creating, innovating, and exploring the new, you’ll drive customer engagement and loyalty while sparking excitement.
 Job Overview: As part of the Supply Chain group, the Lead Data Scientist will develop innovative analytical approaches to support merchandising and supply chain operations and strategy. The Lead Data Scientist will create new analytical models, processes and reporting practical methods to forecast demand, understand customer preferences, improve inventory placement, predict business outcomes, and optimize major investments in supply chain strategy. The Data Scientist will work closely with cross functional groups to enhance analytical capabilities, identify business opportunities, and quantify the impact of strategic projects. They will also build dashboards, visualizations, and conduct ad-hoc data analysis for business partners as needed.
The ideal candidate will have a blend of applied math, data science and engineering skills, proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills. The candidate will be expected to be strong at communication and capable of cross group collaborations
Essential Functions:
Answering complex business questions by using statistics, modeling, simulation, and machine learning techniques 
Designing and running experiments to gather data (i.e. A/B testing)
Develop novel applications of classification, forecasting, simulation, optimization, and summarization techniques.
Conducting data preparation and cleansing, and building data pipelines to support modeling and operational needs
Work closely with cross functional teams to encourage best practices for experimental design and data analysis.
Create compelling interactive visualizations and presentations to enhance decision making capabilities throughout the company.
Perform other duties as assigned.
Qualifications and Competencies:
Minimum Graduate Degree
Preferred PhD
2-5 Years Relevant Research Experience
Extensive experience in Python and SQL
Familiarity with visualization tools such as Tableau, Looker, or Power BI
Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
Able to work independently and juggle multiple projects - can identify primary and secondary objectives, prioritize time and communicate timeline to team members
Ability and desire to take product/project ownership
Ability to think creatively, strategically and technically
Strong passion for answering complex business questions using structured problem solving and rigorous data analysis
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 functional lines and at many levels
Ability to think creatively, strategically and technically
Ability to work a flexible schedule based on department and Company needs


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