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data scientist Pittsburgh, PA

Pittsburgh Penguins

Full Time Pittsburgh, PA 93437 - 65365 USD ANNUAL Today

Job description

Description:

The Data Scientist for the Pittsburgh Penguins will generate reports to help our coaches, management, and scouting departments make critical decisions. As a member of the Hockey Research & Development team, you will have a unique opportunity to collaborate with members throughout the hockey operations department and have a meaningful impact on the direction of the Pittsburgh Penguins. Subject to the minimum qualifications listed below, we welcome applicants of all levels of experience.

Duties & Responsibilities:

The Data Scientist’s responsibilities may include any of the following:

Quantify, evaluate, and project the performance and abilities of hockey players and teams
Build, validate, and automate models for hockey player and team performance using multiple data sources
Collaborate with a team of data scientists, data engineers, and hockey operations personnel
Prepare written and/or automated reports for presentation to hockey operations personnel
Creatively use existing data to advance our understanding of the sport of hockey, the performance of players and teams, etc

Skills Required:

The Data Scientist should have the following minimum qualifications:

Bachelor’s degree or higher in statistics, data science, machine learning, computer science, mathematics, or a related field
Strong knowledge of programming for data analysis, preferably using R
Demonstrated experience working with large, complex datasets
Experience building a variety of statistical models, and an understanding of those models
Experience writing shared code and using version control tools in team work environments
Enthusiasm to work for a professional sports team

Additional Preferences (Optional):

1+ years of experience as a data scientist (preferably with prior experience in sports analytics) and/or sufficient experience working professionally in sports analytics
Portfolio of projects available to be reviewed during the interview
Deep understanding of (and demonstrated experience building) a variety of statistical models (e.g. generalized linear models, generalized additive models, hierarchical models, mixture models, non-parametric models, tree-based models, Bayesian models and MCMC, bagging, boosting, supervised learning, unsupervised learning, neural networks, time series models, etc)
Experience analyzing and building models with spatio-temporal data
Strong knowledge of hockey and/or sports analytics
Basic proficiency with SQL or basic understanding of modern database architectures and data structures
Experience building dashboards, web applications, and/or interactive data visualizations with any tool (e.g. HTML, CSS, JavaScript, Shiny, Tableau, etc)
General understanding of Hockey is preferred but not required.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

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