Sr. Data Scientist

Loaded•Santa Monica, CA

4d•$110,000 - $130,000

About The Position

We Are Looking for a Research Director, Gaming Open World was incubated within gaming firm Loaded and is a full-service, community-minded marketing agency connecting brands and developers with gamers around the world. Our Research & Data Analytics (R/DA) team is building the next generation of player intelligence for the gaming industry. Rather than treating research and analytics as separate disciplines, we’re integrating multiple sources of player data to create a more holistic understanding of gamers. At the center of this effort is PlayDX, our intelligence platform that brings together behavioral data, community sentiment, qualitative and quantitative research, and advanced analytics to uncover the motivations, tensions, and connections players form with games, shaping how they discover, engage with, and stay loyal to them. This integrated approach gives publishers and studios dynamic access to player insights, helping teams anticipate player behavior, respond more quickly to the signals that matter most, and make better decisions across marketing, product, and community strategy. Our team thrives on curiosity, analytical rigor, and a passion for gaming. We are looking for a Sr. Data Scientist to help expand our analytical capabilities and deepen the insights generated from our growing intelligence platform. If that ignites or intrigues you, keep reading… As a Sr. Data Scientist, you will help translate large-scale behavioral gaming data into predictive models, analytical frameworks, and scalable systems. Reporting to the SVP of Research & Data Analytics, you will work closely with research, analytics, and product teams to develop methodologies and tools that power PlayDX and other data products. This highly hands-on role combines advanced modeling and cross-functional collaboration to generate player intelligence products and insights that inform game launches, live service operations, and product and marketing strategy.

Requirements

3+ years of experience in data science, machine learning, or advanced analytics roles
Strong experience working with large behavioral datasets and complex data environments
Advanced proficiency in Python or R (or similar tools) for statistical analysis and modeling
Experience building models such as clustering, classification, regression, and predictive modeling; machine learning experience a plus, but curiosity and a willingness to learn are essential
Strong quantitative and analytical problem-solving skills
Experience translating complex analyses into clear narratives through data visualization, presentations, and written insights
Ability to communicate technical concepts clearly to non-technical stakeholders
Comfortable working cross-functionally and collaborating with research, product, and strategy teams
Hands-on experience managing projects and coordinating with internal stakeholders or clients

Nice To Haves

Experience with SQL or querying large-scale datasets is a plus
Interest in gaming, entertainment, or digital ecosystems

Responsibilities

Analyze large-scale behavioral gaming datasets to uncover patterns in player behavior, engagement, retention, and cross-game activity
Develop statistical models and analytical frameworks to serve as the foundation for our data products and insights
Translate complex behavioral data into clear, actionable recommendations that inform marketing, product, and community strategy for Open World’s campaigns team and our publisher and studio partners
Communicate analytical findings through clear narratives, data visualizations, and presentations for both internal stakeholders and external clients
Collaborate with research and product teams to integrate behavioral data with survey and community sentiment to generate a more complete view of gamer decision-making
Contribute to the development and improvement of internal and client-facing analytical tools, workflows, and methodologies that support the continued growth of behavioral datasets and scalable insights