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GameChanger Media // apps for youth sports teams communities
Engineering, Full Time    New York    Posted: Thursday, September 05, 2019
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About GameChanger:

Sports matter because they inspire leadership, teamwork, commitment, & confidencecritical life lessons that have the power to propel young athletes toward meaningful futures. GameChanger recognizes that without coaches, parents, & volunteers, organized youth sports could not exist. We celebrate those tireless heroes & make it our mission to help them do what they do best.

GameChanger is a technology company providing team management, scorekeeping, & live fan experiences that keep athletes connected with the team community. With GameChanger, coaches & parents can organize & follow their athletes journey in a simple & powerful way.

Were headquartered in downtown Manhattan & are proud to be part of the DICKS Sporting Goods family.

The position:

We are looking for a data scientist that can use data to help us make smarter decisions & deliver even better products. As a data scientist, youll work closely with other data scientists, product managers, designers, marketers, & engineers to create measurements & appropriate metrics, design randomized controlled experiments, & tackle open-ended questions that help us understand our users & business. Making use of GameChangers rich data warehouse & other data sources, youll get to work creatively to answer hard questions & expand the impact of the current Data & Analytics Team.

You will:

  • Frame out major data initiatives to answer open-ended questions around product & user needs
  • Ask thoughtful questions in order to understand stakeholders goals, & discover the best solutions to data-centric problems
  • Work with product teams to integrate data-driven features into our products
  • Build & maintain reports for leadership, product, & marketing stakeholders
  • Select appropriate statistical methods, & implement the solutions with clean code
  • Transform our raw data into useful product metrics
  • Work closely with data engineers to define the requirements of our data pipeline & warehouse

What we're looking for:

  • 3+ years experience doing stakeholder-focused quantitative work
  • Ability to write efficient SQL queries, & clean Python or R analytic code
  • Experience applying statistical & machine learning methods to business problems
  • Ability to listen to, write for, & present to audiences with a range of quantitative experience

Optional Experience:

  • Masters degree (or equivalent) in computer science, mathematics, statistics, economics, or a related field
  • Looker or equivalent business intelligence tool
  • NoSQL databases, particularly MongoDB
  • Command line & git

The Perks:

  • Be part of a diverse team of genuinely kind & interesting individuals dedicated to improving the lives of our customers.
  • Benefits include medical, vision, prescription, dental, FSA/HRA, & coverage for family/dependents.
  • Generous maternity / paternity leave policy
  • Well-furnished, modern office
  • Commuter Benefits
  • Endless supply of snacks & drinks
  • Learning tools including Safari Books Online, opportunities to join clubs, hack days, & conferences
  • Organized lunches, happy hours, & team outings

The Culture:

At GameChanger we are


  • We put our customers first, always asking, Will this enhance their youth sports experience?
  • We deeply understand our customers & work hard to anticipate their needs.
  • We celebrate & support our customers contributions to their communities.

Team Players

  • We listen actively, seeking to understand others before making ourselves heard.
  • We challenge each other directly while caring about each other personally.
  • We do unglamorous work in service of the team.


  • We set aggressive goals designed to drive meaningful change.
  • We are eager teachers & curious students who invest in learning.
  • We are resilient, thriving in change & adversity.


  • We value creative ideas & productivity over seniority & hours worked.
  • We entrust decisions to those best positioned to make them.
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