• Job available in 2 locations
  • St. Petersburg, Florida, United States Corporate Office - St. Petersburg 140 Fountain Parkway
  • New York, New York, United States Corporate Office - New York 330 West 34th Street

Overview

Our global house-of-brands inspires and empowers youth culture. Relentlessly committed to fuel a shared passion for self-expression, we create unrivaled experiences at the heart of the sport and sneaker communities through the power of our people. If you want to be a part of something bigger than you can imagine, you’ve come to the right place.To learn more about the incredible impact we’re making on both our local and global communities,Click Here

The Director - Data Science manages the Data Science team in pursuit of their continuous innovation and advancement of our data science capabilities to help shape the future of Foot Locker. You are expected to evolve the maturity of our machine learning, natural language processing and artificial intelligence capabilities to optimize customer insights, customer experience, personalization and overall business performance. You will inspire and drive innovation by developing new modeling capabilities and unique intellectual property to differentiate Foot Locker from its competitors. As the Director you will have direct supervisory responsibilities for 10-15 Data Scientists in a matrix organization structure where Data Scientists are assigned to projects lead by Product Managers.

Additionally, you will provide analytical guidance to internal teams and executive leaders as well as their skills and knowledge to highly complex problems and be responsible for developing and driving the long-term data strategy at Foot Locker. You are expected to possess both a breadth and depth of experience and knowledge about the entire Data Science value chain and will serve as the true subject matter expert on all topics related to analytics and data strategy.

Responsibilities

• Clearly connect the company’s strategic vision with analytical processes and outcomes. Ensuring the maximization and continuous delivery of value via analytics.
• Analyzes, understands and builds a comprehensive analytical architecture based around data sources, common data models, business processes, and data products.
• Works closely with the Data Engineering and Product Management teams to align core capabilities around outcomes.
• Researches, designs, and implements Deep Learning algorithms for complex business problems.
• Supports executive leadership by providing resource estimates for major projects along with determining milestones and identifying possible constraints.
• Maintains a current skill set that incorporates leading Data Science techniques.
• Work with stakeholders to understand requirements and deliver solutions.
• Creates the continuously learning road-map for the rest of the department, identifying key strengths and areas to improve overall group skills and cohesion.
• Leads analytical teams to create, validate, and deploy comprehensive solutions to difficult problems.
• Manages the comprehensive portfolio of tools, applications, and processes across all the data teams to ensure a common pattern and adherence to defined best practices.
• Networks and engages with top Data Science talent for future Foot Locker roles and p assionately develops current talent with active role in career development, coaching and mentoring.

Qualifications

• Masters Degree or PhD. in a Data Science, Applied Mathematics, Computer Science or otherwise research-based field.
• Minimum 7 years of related experience and/or training; or equivalent combination of education and experience.
• Superior understanding of data/analytical architecture and its supporting systems and processes.
• Can analyze scenarios and the appropriate architecture pattern succinctly.
• Expert level proficiency in SQL, R or Python.
• Extensive knowledge of Big Data technologies such as Hadoop, Spark, and NoSQL.
• A thorough and comprehensive understanding of statistical modeling, machine learning, and hypothesis testing.
• Familiarity with popular Deep Learning frameworks such as Tensorflow, Keras, or Caffe.
• Exceptional written and verbal communication skills and an innate ability to convey complex topics effectively to broad audiences.
• Experience working with AI, Machine Learning and Deep Learning technologies.
• A contagious passion for all things analytics.
• Experience mentoring team members and building capability through influence.
• A demonstrated history of continuous leadership development and leading effective teams.
• Experience managing large projects involving cross-functional teams.
• Direct experience with retail and eCommerce business models.
• Presentation skills/executive presence.
• Excellent analytical and problem solving skills
• Strong organizational and interpersonal skills

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