Director, Data Scientist

Key Skills

PHP Programming, Java Programming, Google-Analytics, Python Programming, Database, SQL, Marketing Strategy, Perl Programming, Looker, MATLAB Programming, Tableau, R Programming, Stata, Spotfire

Job Description

Macy’s is proudly America’s Department Store. For more than 160 years, Macy’s has served generations at every stage of their lives. Customers come to us for fashion, value and celebration.

Macy’s Merchandising curates the best national and private brands to support our customer’s self-expression from off-price to luxury. Merchandising ensures Macy's is the premier fashion authority using a high acumen for products and trends as well as strong relationships with vendors in the marketplace. Our team maximizes sales and gross margin for each product category by identifying, procuring, and assorting the products that our customers demand.

Do you have an eye for products and trends? Join Macy’s Merchandising and create connections that surprise and delight our customers at every turn.

Job Overview:

 You’ll explore new business opportunities and partner with our most critical lines of business to find new ways to drive sales growth, and improve gross margin for the company. 

As part of the Pricing – Data Science Group, the Lead Data Scientist will develop innovative analytical approaches to inform and execute pricing strategies. The Lead Data Scientist will create practical and scalable methods to forecast customer demand, recommend pricing actions, simulate business outcomes, and optimize major investments. The Data Scientist will work closely with cross functional groups to enhance analytical capabilities, identify new growth opportunities, and develop persuasive interactive visualizations. Perform other duties as assigned.

Essential Functions:

• Answer complex business questions by using appropriate statistical techniques on available data or designing and running experiments to gather data.
• Adapt standard or develop novel applications of classification, forecasting, simulation, optimization, and summarization techniques.
• 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.
• Regular, dependable attendance and punctuality.

Qualifications and Competencies

• 5+ years of industry experience with Master’s or 2+ years of industry experience with Ph.D. required in relevant technical field such as Applied Mathematics, Computer Science, Engineering, Physics, or Economics.
• Experience working with large data sets.
• Expert knowledge of analytical tools such as SAS, R, Matlab, or STATA and scripting languages such as Python, Perl, or PHP.
• Strong passion for answering complex business questions using structured problem solving and rigorous data analysis.
• Curiosity and desire to learn about business needs and strategies from close collaboration with business partners such as the CRM, Marketing Effectiveness, and Customer Analytics teams.
• Familiarity with visualization tools such as Tableau, Looker or Spotfire.
• Familiarity with relational databases and SQL.
• Ability to communicate complex quantitative analyses in a clear, precise, and actionable manner
• 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.