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Senior Data Scientist - Singapore Efficiency Team

Riot Games

Senior Data Scientist - Singapore Efficiency Team

Riot Games

Singapore

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Full relocation support

Healthcare

Unlimited PTO

401(k)

Parental Leave

Learning Budget

Healthcare

Unlimited Pto

401k

Parental Leave

Learning

Required Skills

Machine Learning

Data Science

Python

R

C

C++

C#

Statistical analysis

Experimental design

Data visualization

Generative Models

GANs

Diffusion Models

VAEs

At the Riot Singapore Efficiency team, we're driven by innovation and optimization. Our team harnesses the power of Machine Learning approaches and Artificial Intelligence to reimagine the way we build games. By leveraging cutting-edge technology, we aim to streamline development processes, enhance creative workflows, which finally deliver immersive experiences to players around the globe. Join us in pushing the boundaries of what's possible in game development and shaping the future of interactive entertainment.

We are seeking a talented and experienced Data Scientist to join our AI team. As a Senior Data Scientist, you will play a key role in leveraging Machine Learning techniques to drive innovation and efficiency in our game development processes. You will collaborate closely with game teams to accelerate artists' pipelines, streamline workflows, and introduce novel tools aimed at enhancing player experiences.

Responsibilities

  • Collaborate on the development and implementation of Machine Learning models aimed at accelerating creative pipeline optimizations, enhancing processes such as content creation, iteration, and integration.

  • Work closely with game designers, engineers, and artists to identify opportunities for applying Machine Learning techniques to streamline creative workflows, improve asset generation, and enhance overall efficiency in game development.

  • Design and conduct experiments to validate models, measure their impact on creative pipeline optimizations, and drive continuous improvement.

  • Stay abreast of the latest advancements in Machine Learning, and gaming technology, and proactively explore innovative approaches to enhancing creative pipeline efficiencies.

Required Skills

  • Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.

  • At least 3 years of extensive experience in applying Data Science techniques to real-world problems, with a proven track record of delivering impactful data science solutions in a fast-paced environment.

  • Proficiency in programming languages such as Python, R, C, C++, C#, and experience with libraries and frameworks such as Tensor Flow, Py Torch, or JAX.

  • Strong understanding of statistical analysis, experimental design, and data visualization techniques.

  • Experience working with Generative Models, such as Score-based Diffusion Models, Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs), to drive creative pipeline optimizations.

  • Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.

  • Leadership experience, including mentoring junior team members, interns and driving cross-functional collaboration, is highly desirable.

Desired Skills

  • Experience working in the gaming industry or a related field is a plus.

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!

Our Perks

  • Full relocation support

  • Full health insurance for you, your spouse and children

  • Open paid time off

  • Retirement benefits with company matching

  • Life insurance, parental leave, plus short-term and long-term disability

  • Play Fund so you can broaden and deepen your knowledge of our players and community through games

  • We will double down on your donations of time and money to non-profits

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About Riot Games

Riot Games

Riot Games

Acquired

We aspire to be the most player-focused game company.

1,001-5,000

Employees

Los Angeles

Headquarters

Reviews

3.9

2 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

4.5

Career

3.5

Management

4.0

78%

Recommend to a Friend

Pros

Higher pay and competitive compensation

Better work-life balance

Strong gamer-friendly culture

Cons

Full-time transition contingent on performance

Lower compensation ceiling compared to some competitors

Game industry specificity limits general tech resume value

Salary Ranges

2 data points

Staff/L6

Staff/L6 · Data Scientist P4

0 reports

$240,750

total / year

Base

-

Stock

-

Bonus

-

$204,638

$276,862

Interview Experience

8 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 13%

Neutral 87%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment

3

Phone Screen

4

Technical Interview

5

Craft Interview

6

Final Round/Onsite

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit