Data Scientist
Xsolla (USA), Inc., operating under the Xsolla brand, is a global video game commerce and payments company serving game developers, publishers, creators, and payment providers.
Maintainer signals as of 9/25/2026
Projects
About Xsolla (USA), Inc.
Xsolla provides merchant-of-record and payment-processing services plus direct-to-consumer commerce, web shops, publishing and distribution tools, cloud gaming, fraud prevention, player engagement, creator monetization, and developer tooling for the video game industry. Its solutions operate across 200+ geographies with 1,000+ payment methods and are actively supported through live products, documentation, customer support, and ongoing hiring.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Design, build, and optimize data pipelines and ETL workflows in Snowflake using Snowpark, Streams/Tasks, and Snowpipe. Develop scalable data models for user 360 views, churn prediction, and recommendation engine inputs; integrate diverse data sources; implement CI/CD and data quality checks; mentor junior engineers; support machine learning feature productionization; and establish governance, lineage, metadata standards, and streaming architecture practices.
Requirements
- 5+ years of experience in a Data Scientist role, including 3+ years with Spark
- Strong SQL and Python skills with ETL/ELT experience at scale
- Deep understanding of algorithm performance tuning, query optimization, and warehouse orchestration
- Experience with Airflow, Prefect, dbt, or similar orchestration tools
- Understanding of Kimball, Data Vault, or hybrid data modeling
- Proficiency with Kafka, GCP, or AWS for real-time or batch ingestion
- Familiarity with API-based data integration and microservice architectures
- Experience leading machine learning teams or deploying ML feature pipelines
- Background in ad-tech, gaming, or e-commerce recommendation systems
- Familiarity with data contracts and feature stores such as Feast or Tecton
- Experience managing small data engineering teams and setting technical direction
- Strong ownership, autonomy, cross-functional communication, problem-solving, and mentoring skills
Responsibilities
- Design, build, and optimize data pipelines and ETL workflows in Snowflake using Snowpark, Streams/Tasks, and Snowpipe
- Develop scalable data models supporting user 360 views, churn prediction, and recommendation engine inputs
- Lead integration across MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway
- Implement CI/CD for data pipelines using Git, dbt, and automated testing
- Define data quality checks and auditing pipelines for ingestion and transformation layers
- Mentor and guide junior data engineers on data modeling, performance tuning, and Snowflake best practices
- Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake
- Ensure compliance, privacy, and governance of user data with Legal, Security, and Infrastructure teams
- Translate business requirements into technical specifications with stakeholders
- Tune algorithm performance and establish partitioning, clustering, and materialized views
- Build dashboards and monitors for pipeline health, job success, and data latency
- Establish naming conventions, data lineage, and metadata standards
- Lead code reviews, enforce documentation standards, and manage schema versioning
- Contribute to the company’s data mesh and streaming architecture vision
Benefits
- Medical, dental, and vision insurance
- PTO
- Personalized career roadmap
- Professional development through training and educational opportunities
Hiring Process
Background check including criminal history, employment verification, and education verification.
