Staff Data Scientist - Anti-Cheat @ Riot Games | Jobright.ai
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Staff Data Scientist - Anti-Cheat jobs in Los Angeles, CA
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Riot Games · 1 day ago

Staff Data Scientist - Anti-Cheat

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Responsibilities

Independently analyze and develop prototypes for emerging challenges in the anti-cheat space. Assess these prototypes to determine their feasibility and potential for further development.
Design the necessary feature sets to address anti-cheat challenges, processing data into scalable formats for model use. If additional telemetry data is required, communicate detailed requirements to game teams or other parts of the Anti-Cheat team.
Develop mission-critical machine learning and artificial intelligence systems from scratch, including gathering requirements and designing scalable, production-ready architecture that significantly impacts the team and product.
Mentor junior staff by sharing your reasoning behind design decisions and result interpretations. Act as a subject matter expert, providing technical leadership across multiple teams and projects, while managing the end-to-end execution of complex, multi-month initiatives.
Engage with stakeholders outside the team to secure buy-in for projects and effectively communicate the impact and significance of the team’s results.
Collaborate with the data engineering team to troubleshoot and optimize ETL pipelines, ensuring efficient data flow and processing.
Reduce ambiguity in complex problem spaces by leading technical discovery and prototyping efforts that have a strategic impact on the team.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningArtificial IntelligenceETL PipelinesData ManipulationDeep LearningRelational DatabasesDocument StoresDistributed Storage SystemsCybersecurity ExperienceContainer TechnologiesInfrastructure as CodeCompetitive Multiplayer Games

Required

Ph.D. in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field with 3+ years of industry experience (including Postdoc), or equivalent experience (i.e., M.S. with 4-6+ years of relevant experience, or B.S. with 6-8+ years of relevant experience)
Proficient in large-scale data manipulation across various data types.
Demonstrated ability to troubleshoot and optimize complex ETL pipelines.
Deep understanding of traditional machine learning models, with familiarity in deep learning technologies and their applications.
Familiarity with relational databases (e.g., MySQL, Postgres), document stores (e.g., ElasticSearch), and distributed storage systems (e.g., HDFS, S3, Google Cloud Storage).

Preferred

Experience working in the cybersecurity or anti-cheat problem space.
Knowledge of container technologies (e.g., Docker, Kubernetes) and infrastructure as code tools (e.g., Terraform, Ansible).
Understanding of high-performance competitive multiplayer games and the challenges associated with them.

Benefits

Open paid time off policy
Flexible work schedules
Medical, dental, and life insurance
Parental leave for you, your spouse/domestic partner, and children
401k with company match

Company

Riot Games

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Riot Games is a global company that develops online games.

H1B Sponsorship

Riot Games has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (79)
2022 (86)
2021 (95)
2020 (82)

Funding

Current Stage
Late Stage
Total Funding
$21M
2018-12-31Series Unknown· $6M
2016-11-14Convertible Note
2011-02-01Acquired

Leadership Team

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Brandon Beck
Co-Chairman & Co-founder
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Greg Street
VP & EP, MMO R&D project
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Company data provided by crunchbase
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