Data Science Intern - League Data Central - Summer 2025 (Remote)
Los Angeles, USA
Riot's Data developers build tools to understand and delight our worldwide players using petabytes of data and state-of-the-art data processing technology. Handling the potential these data offer is a tremendous and complex task. As we continue delivering and scaling content to passionate gamers, our discipline has challenges and opportunities centered on crafting, building, and maintaining data products that support our growth. Whether you are a Data Scientist modeling game systems, a Data Engineer bringing scale and efficiency to systems, or a Data Architect organizing data in ways that make data products more player-focused and dependable, we need you to help push forward our “Player Experience First” goals.
As a Data Science Intern on the League Data Central team, you will build data products to support the games and functions of the organization. You will report to the Data Science Manager on League Data Central, the hub for all Data Science and Data Engineering for League of Legends, Teamfight Tactics, and Wild Rift. The team collaborates on cross-functional projects that range from in-game features to content design to infrastructure. In a world of high volume data, you will develop products that bring personalized experiences to players, optimize our strategy, and refine in-game features.
Responsibilities:
- Work closely with game feature teams to optimize the way that we design and serve to players
- Partner with game designers and engineers to design and implement data products
- Explore the application of data science techniques to games in development and production
Required Qualifications:
- Currently enrolled in an M.S. or Ph.D. program in statistics, engineering, computer science, artificial intelligence, or a related quantitative field (math, physics, etc.)
- Available to work full-time hours for 10-12 weeks at the indicated office during the summer
- Experience in statistics, statistical modeling, and optimization
- Experience processing data and build machine learning models using Python
- Experience with databases and SQL
Desired Qualifications:
- Basic understanding of data warehousing, relational databases (e.g., MySQL), and distributed data processing or storage systems (e.g., Spark, Flink, Hadoop)
- Basic experience withSpark, or other big data tech (e.g., Hadoop)
- Basic experience with cloud data tools (e.g., AWS, GCP)
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!
Applications close Friday, January 10th, 2025 at 11:59pm PT
Our Perks:
Riot Internships are paid, and interns can also participate in our 401(k) plan. You can expect in-game perks, and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Programs team also invites you to intern focused events so you can connect with your fellow interns and Rioters to make the most out of your experience.
Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do, and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
- Safeguarding confidential and sensitive Company data
- Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
- Accessing Company assets, secure digital systems, and networks
- Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
(Remote Only) The hourly rate for this internship is USD $61.78 per hour.
ApplyJob Profile
Full-time hours for 10-12 weeks Full-time hours for 10-12 weeks during summer Remote only
Benefits/Perks401(k) Plan In-game perks Intern-focused events Paid internship
Tasks- Build data products
- Build tools
- Optimize design and service to players
- Partner with game designers and engineers
AWS Big Data Cloud data tools Communication Databases Data Science Data Warehousing Distributed Data Processing Flink GCP Hadoop MySQL Optimization Python Relational databases Spark SQL Statistical modeling Statistics
Experience0 years
EducationArtificial Intelligence Computer Science Engineering Math MS Ph.D. Physics Quantitative field Statistics Technology University
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9