Lead Data Scientist

GameStop
Grapevine, TX Full Time
POSTED ON 10/5/2021 CLOSED ON 10/24/2021

What are the responsibilities and job description for the Lead Data Scientist position at GameStop?

Job Description

Description:

SUMMARY

The Lead Data Scientist leads a team of data engineers, data scientists, and ml engineers to develop, design, and implement data-driven services to improve GameStop’s stores and eCommerce platform.  The role will help identify the areas of opportunity, and insights into customer behavior and related areas. To accomplish this, the position will require extensive knowledge of data analytics and modeling as well as an ability to organize a team to develop and drive initiatives across GameStop. To deploy maintainable and robust solutions associates in the role will also need to mentor and guide junior members of the team in current best practices, processes, procedures, and methodologies.

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES*

  • Lead a team of Data Scientist, Machine Learning Engineer, and Data Engineers to augment existing services and develop new capabilities at GameStop.
  • Track and coordinate multiple ongoing projects and initiatives.
  • Leverage clustering, network, NLP, and other analytical tools to better understand the relationships between customers and products.
  • Identify and develop statistical and machine learning models to improve customer facing eCommerce services.
  • Partnering with Customer Support, Research, Product Specialist, Community, Social and Engineering teams to identify trends and opportunities.
  • Informing, influencing, and supporting product decisions by using and defining key metrics
  • Manage the entire lifecycle of a project to ensure it technologically sound and aligns with GameStop’s goals.
  • Supporting and/or aiding the development of analytical dashboard and reporting tools and processes

MINIMUM QUALIFICATIONS, JOB SKILLS, ABILITIES

  • Accredited bachelor’s degree in computer science, mathematics, or similar field; equivalent work experience may be considered as a substitution.Master’s degree preferred.
  • 5 years of experience as a Data Scientist, Machine Learning Engineer, or similar role
  • 2 years of experience leading data-centric projects
  • Experienced in querying and working with SQL and NoSQL databases
  • Experience designing, developing, evaluating, and deploying machine learning/deep learning models.
  • Proficient in Python/R programming language
  • Excellent communication and project management skills
  • Experience with cloud service providers like AWS and GCP

PREFERRED QUALIFICATIONS, JOB SKILLS, ABILITIES

  • 2 years of experience on consumer facing web and/or mobile applications.
  • 2 years of experience working with retail data on analytical projects.
  • Experience developing and deploying cloud-based data services on cloud service providers like AWS and GCP.
  • Expert ability to work with big data in the form of systems like Hadoop and BigQuery.
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