Member of Technical Staff - Data
Listed on 2026-09-12
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IT/Tech
Data Analyst, Data Engineering, Data Science Manager
Job Title: Member of Technical Staff - Data
Location: Santa Monica, CA (On-site)
Employment Type: Full-time
Level: Senior
Company: favorited
At favorited, we believe that digital communities should be more than just spaces to watch content. Our platform is a place to connect, engage, and play, and empowers creators by enhancing audience participation and fostering deeper connections.
Our work culture is intense and isn’t for everyone. But, if you’re a self-starter eager to shape the future of social interaction with a team that holds itself to the highest standards, this is the place for you. We value open, yet respectful communication and real-time feedback to help each other grow quickly. If you’re passionate about gaming and have a knack for gamifying everyday life, you’ll thrive in our fast-moving, collaborative environment.
About the RoleWe’re looking for a Member of Technical Staff to build the data foundation that powers critical areas of favorited, including Trust & Safety, Fraud, and user, creator, and application analytics
.
This is a high-impact, 0-to-1 role for someone who has experience standing up data environments for live-service, consumer-focused products
. You’ll work closely with product and engineering teams to build the systems, infrastructure, and analytical capabilities needed to understand our users, creators, and platform—and make better decisions as we scale.
Build and scale data infrastructure and environments from 0 → 1 to support a rapidly growing consumer product.
Develop data systems that support Trust & Safety, fraud detection, and user and creator analytics
.Create reliable data pipelines and foundational datasets that enable product, engineering, and operational decision-making.
Partner closely with product and engineering teams to understand business and technical requirements and translate them into scalable data solutions.
Support analytics across user behavior, creator engagement, application performance, and platform health
.Develop data capabilities that help identify suspicious behavior, abuse, fraud, and other Trust & Safety risks.
Establish strong standards for data quality, reliability, documentation, and accessibility
.Build systems that can evolve with a rapidly changing live-service consumer product and its growing data volume.
Identify opportunities to improve how teams access, understand, and act on data.
Work autonomously to identify high-impact problems, prioritize solutions, and drive projects from concept through implementation.
5+ years of experience working in data engineering, data infrastructure, analytics engineering, or a related technical role
.Proven experience building 0 → 1 data environments for consumer-facing products or internal teams.
Experience supporting live-service products with rapidly changing requirements and continuously evolving data.
Strong understanding of data pipelines, data modeling, data infrastructure, and analytics systems.
Experience partnering closely with product and engineering teams
.Strong ability to operate with a high degree of autonomy, ownership, and accountability
.Excellent organizational and problem-solving skills, with the ability to prioritize high-impact work in an ambiguous environment.
Strong communication skills and the ability to translate complex technical concepts for cross-functional partners.
A product-oriented mindset and curiosity about how users and creators interact with a platform
.
Nice to Have:
Experience with
Trust & Safety, fraud, risk, or abuse detection
.Experience working with gaming, social, live streaming, or other highly interactive consumer products.
Experience building data systems that support millions of users.
Familiarity with real-time…
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