Data Scientist

National Basketball Association
New York
Feb 10, 2018
Mar 10, 2018
Employer Type
Direct Employer
Employment Type
Full Time
Job Board
Position Description:
The NBA's Team Marketing and Business Operations ("TMBO") group is a unique in-house consulting arm within the NBA league office that strives to drive best practices and innovation across all 64 NBA, WNBA and NBA G League teams. The primary focus for this fast paced and collaborative department is on all aspects of business operations, including ticket sales and service, sponsorship, marketing, digital, analytics, and data strategy.
The Data Scientist role will be a technical expert within TMBO 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. You will uncover insights through predictive analyses and data visualization, drive better decision making through the use of various statistical modeling techniques, and promote efficiencies in reporting to various stakeholder groups within the league office. The demand for advanced analytical solutions to business operations issues in sports continues to grow exponentially, and this is your opportunity to grow with us in a fast-paced, collaborative environment.

Major Responsibilities:
Help lead TMBO's efforts to develop and maintain analytical products for communicating the state of team businesses to key stakeholders at the league office
Work with TMBO executives to further proprietary analytical research for presentation to teams at various league workshops
Enhance the current report generation processes within TMBO through the lens of potential automation and conversion to different, more useful development environments (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 as needed on a project basis
Collaborate with the NBA's customer data strategy team to develop a comprehensive view of NBA fans and utilize the data to generate revenue for teams and the league

Required Experience & Knowledge:
Required Skills

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 as well as automate processes
Expertise in using SQL Server Management Studio 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, exceptional skills in Excel and VBA preferred

Technical Requirements
Expertise in developing, executing and implementing: various classification and regression models, clustering, time-series models and attribution models
Expertise in web scraping
Expertise in parsing existing code and developing ways to increase its efficiency
Familiarity with accessing and manipulating data via APIs

Experience Needed

At least 2 years of experience in an advanced analytical role, preferably in an industry focused on leveraging data to develop loyal fans or customers

Educational Background Required:
Bachelor's degree in a computer/information science, statistics, engineering or other quantitative field required