Data Scientist

Less than 5 years experience  • 

Salary depends on experience
Posted on 03/27/18
Bradenton, FL
Less than 5 years experience
Salary depends on experience
Posted on 03/27/18

19301

Overview

Footlocker.com / Eastbay is on the cutting edge of on-line retailtechnology. Our evolution has led us to improve our systems and strengthen our teams. We are searching for a forward thinking Data Scientist to drive data mining, build data products, and communicate findings to key stakeholders. This is a rare opportunity to deploy proficiency in green field product development and retaildigital systems. 

Responsibilities

As an integral role in our innovative, data-driven environment, the Data Scientist will:

 

  • Demonstrate the ability to analyze, design, develop and implement solutions that increase customer value and embrace simplicity, speed, adaptability, and sustainability.
  • Conduct exploratory data analysis.
  • Perform statistical analysis; deploying models on large data sets.
  • Demonstrate strong understanding of agile delivery.
  • Develop code with Spark via Jupyter notebooks.
  • Perform queries, aggregations, joins, and transformations using Spark, Hive, and Pig.
  • Develop new data sets using feature engineering techniques.
  • Deliver value by creating functions, classes, and packages to automate processes and workflows for production deployment.
  • Strong ability to interact with internal customers and product owners to analyze a problem and clearly articulate a solution and plan.
  • Act as a student of the business by partnering with teams to determine current and on-going needs, and gaining further knowledge into their processes.
  • Evaluates user request for new/modified programs to determine feasibility, cost and time required, compatibility with current system, and computer capabilities.
  • Proficient in green field product development, retaildigital systems, complex API based integration, Restful API at scale, R, SAS, Python, SQL, MapReduce, Hive, Pig, and Spark.
  • Mentors other team members in areas of expertise.
  • Takes part in the On-Call24/7/365 rotation to ensure our systems maintain high availability.

Qualifications

A successful candidate will have:

  • The ability to demonstrate proficiency in statistical analysis, and the creation of data products.
  • Forward-thinking business skills that enable collaboration and data mining with varied business units.
  • Reliability and consistency in his/her ability to deliver on commitments.
  • An eager drive to improve business processes, functions, products, and delivery to customers.
  • As Masters Degree or PhD. in a science, math, or otherwise research-based field; 3-5years of related experience and/or training; or equivalent combination of education and experience.
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