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At the NBA, we’re passionate about growing and celebrating the game of basketball. Through the intensity of the game and the amazing athletic skill of our players, we deliver excitement to hundreds of millions of fans around the world.
As a global sports and media business, the NBA is so much more. While Basketball Operations runs the league’s on-court activities, other departments manage relationships with television and digital media partners, develop marketing partnerships with some of the world’s most recognizable companies, oversee the licensing of NBA merchandise, and handle a wide range of responsibilities that drive the NBA’s success.
The NBA is committed to providing a safe and healthy workplace. To safeguard our employees and their families, our visitors and the broader community from COVID-19, and in consideration of recommendations from health authorities and the NBA’s own advisors, any individual working onsite in our New York and New Jersey offices must be fully vaccinated against COVID-19, including having received a booster when eligible. The NBA will discuss accommodations for individuals who cannot be vaccinated due to a medical reason or sincerely held religious belief, practice, or observance
The Data Scientist role will be a technical expert within the Global Strategy & Innovation (GSI) group in all matters surrounding statistical analysis, data manipulation and interpretation, and process automation. You will be a thought leader, tasked with the responsibility to leverage the NBA's various internal data sources to create new and innovative analytical products and outputs to inform league executives about the state of team businesses. The ideal candidate will uncover insights through predictive analyses and data visualization, drive better decision making by using various statistical modeling techniques, and promote efficiencies in reporting to various stakeholder groups within the league office.
Help lead GSI's efforts to develop and maintain analytical products for communicating the state of team businesses to key stakeholders at the league office
Work with Team Marketing & Business Operations (TMBO) executives to further proprietary analytical research for presentation to teams at various league workshops
Enhance the current report generation processes within GSI through the lens of potential automation and conversion to different, more useful development environments (e.g., R, Python, Tableau, etc.)
Develop an understanding of current needs in data collection at the league office and create solutions to gather the required information
Perform statistical analysis and create and maintain descriptive and predictive models as needed on a project basis
Demonstrated skills, knowledge and experience in converting data into insights
Passion for developing methods to streamline processes and data flow through automation
Experience in understanding existing data structures, including collection and standardization processes, and ability to help shape future processes going forward with an eye toward business needs
Ability to consult with business analysts and operators to understand their data needs, develop systems to access the data and convert the outputs into various formats for analysis
Comfort with ambiguity in data and experience in working with partners to optimize third-party data streams
Detail-oriented, extremely organized with ability to manage projects from inception through execution
Strong communication skills, both verbal and written, particularly for presentations
Demonstrated Facility with Required Software:
Expertise in leveraging R and Python to perform statistical analysis, build models and automate processes
Expertise in using SQL to tap expansive databases
Expertise in creating informative data visualizations through Tableau
Familiarity with other coding languages, statistical analysis tools and business intelligence platforms preferred
Familiarity with Microsoft Office software required, strong skills in Excel and VBA preferred
Expertise in developing, executing and implementing various classification and regression models and familiarity with more advanced machine learning techniques
Expertise in parsing existing code and developing ways to increase its efficiency
Familiarity with accessing and manipulating data via APIs
Experience in an advanced analytical role, leveraging data to develop loyal fans or customers
2-3 years of work experience preferred
Bachelor's Degree in computer/information science, statistics, engineering or another quantitative field required
We Consider Applicants For All Positions On The Basis Of Merit, Qualifications And Business Needs, And Without Regard To Race, Color, National Origin, Religion, Sex, Gender Identity, Age, Disability, Alienage Or Citizenship Status, Ancestry, Marital Status, Creed, Genetic Predisposition Or Carrier Status, Sexual Orientation, Veteran Status, Familial Status, Status As A Victim Of Domestic Violence Or Any Other Status Or Characteristic Protected By Applicable Federal, State, Or Local Law.
Intermediate (2–5 years exp)
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