Description

Amazon is all-in on games, and our mission is to be the most customer-obsessed company in the games industry. At Amazon Games, we’re creating compelling games like New World, a sandbox MMO set on a supernatural continent, as well as several - as of yet - undisclosed titles. Amazon Games is also delivering great game benefits to Prime members each month via Prime Gaming, and providing game developers of all sizes with the tools they need to succeed with Amazon Game Tech.

We are seeking an experienced Data Scientist to join our dynamic team in developing cutting-edge models and applying AI methods to enhance our video game products. In this critical role, you will be responsible for collecting, analyzing, and interpreting complex datasets related to our games and player behaviors. Your insights will directly influence decision-making across game design, development, marketing, and business strategy.

Key Responsibilities:

• Develop and deploy advanced machine learning models and algorithms at scale to drive innovation in our games

• Dive into multi-game projects to leverage data and provide insights that elevate the player experience at launch and beyond

• Collaborate closely with cross-functional teams including producers, designers, analysts, and engineers to integrate AI/ML solutions

• Utilize machine learning to build products or inform decisions that directly improve player engagement, retention, and monetization

• Own the end-to-end ML lifecycle including data acquisition, feature engineering, model training, tuning, and deployment

• Effectively communicate data-driven insights and recommendations to technical and non-technical stakeholders

• Stay up-to-date with the latest advancements in AI/ML and apply them to drive continuous improvement in our games

Amazon Games applies the principles of Amazonian culture to the world of game design. We have a diverse team of talented, creative people pairing their love of making games with the unique strengths that come with being part of Amazon. Across all of our teams and locations, we are united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games, and we are looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you will have the chance to innovate in gameplay, creativity, marketing, and technology, while working alongside some of the smartest and most creative minds in the industry.

Inclusive Culture, Work/Life Balance, & Career Growth

We embrace our differences and are committed to furthering our culture of inclusion. We offer ten employee-led affinity groups with 190 global chapters, innovative benefits, and annual and ongoing learning experiences (including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences). Our team also puts a high value on work-life balance and offers flexible working hours. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Additionally, our team is dedicated to supporting you with mentorship and pathways for ongoing development. We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice.

Key job responsibilities

1. Develop and deploy advanced machine learning models and algorithms at scale to drive innovation in games.

2. Leverage data and provide insights to enhance the player experience at launch and beyond, working on multi-game projects.

3. Collaborate closely with cross-functional teams (producers, designers, analysts, engineers) to integrate AI/ML solutions.

4. Utilize machine learning to build products or inform decisions that improve player engagement, retention, and monetization.

5. Own the end-to-end ML lifecycle, including data acquisition, feature engineering, model training, tuning, and deployment.

6. Effectively communicate data-driven insights and recommendations to technical and non-technical stakeholders.

7. Stay up-to-date with the latest advancements in AI/ML and apply them to drive continuous improvement in games.

About the team

The Games, Central Business Intelligence Team is a group of talented and collaborative Data Scientists. Together with Data Engineering and Data Science we support Amazon's entire portfolio of live and upcoming games. We're gamers who love using data to understand "What's fun" and bring more of that to our players.

Basic Qualifications

• 3+ years of data scientist experience

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

• 3+ years of Games Industry (supporting title Development, Release, or Live Ops) experience

Preferred Qualifications

• Experience in Python, Perl, or another scripting language

• Experience in a ML or data scientist role with a large technology company

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.