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Sr Data Scientist - GameOps (NBA)

unlimited holidays - extra holidays - extra parental leave - long remote period allowed

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

Advanced knowledge of ML, sports analytics, Proficiency in stats & Python/R.

Key responsabilities:

Clean/wrangle data, create visualizations
Develop custom models based on player stats
Optimize algorithms and feature selection
Design tools for monitoring model performance

PrizePicks Sporting Goods Scaleup https://prizepicks.com/

51 - 200 Employees

See more PrizePicks offers

Job description

At PrizePicks, we are the fastest growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?

The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments - at the core of these operations is data and the insights driven from that data. You will work closely with other data scientists, reporting analysts, and cross-departmental directors to test business flows, make business recommendations, and provide novel business insights to leadership focused on driving revenue growth, optimizing marketing efficiency, and optimizing retention efforts.

What you’ll do:

Conduct data cleaning operations, data wrangling, and create visualizations for sports-related datasets.
Develop custom data models and algorithms, focusing on utilizing player statistics to simulate full-game NBA scenarios accurately.
Participate in selecting features, building classifiers, and optimizing them using various modeling techniques.
Design processes and tools for monitoring and analyzing model performance and data accuracy.
Contribute to research and innovation in sports data science initiatives.

What you have:

Advanced knowledge of machine learning, data analysis, and statistical modeling, specifically with respect to professional sports, particularly NBA
Proficiency in statistics and statistical software applications, such as Python or R.
Practical experience with relational databases like PostgreSQL.
Experience with data visualization and report building is a plus.
Minimum 5+ years of experience in a related data science role, ideally within the professional sports industry.
Experience with player performance metrics, game outcome predictions, and in-game event modeling for NBA.
Familiarity with advanced sports statistics and analytics platforms used in professional basketball or football
Experience working with real-time sports data feeds and APIs.
Knowledge of sports betting concepts and daily fantasy sports a plus.

Where you’ll live:

Anywhere in the US is fine but Atlanta would be preferred.

Benefits you’ll receive:

In addition to your great compensation package, we’ll shower you with perks including:

Company-subsidized medical, dental, & vision plans
401(k) plan with company match
Long-term incentives and bi-annual bonus
Uncapped PTO to encourage a healthy work/life balance (2-week MINIMUM required!)
Generous paid leave programs, including 16-week paid parental leave and disability benefits
Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
Company-wide in-person events and team outings
Lifestyle enhancement program
Company equipment provided (Windows & Mac options)
Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.