[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. They are seeking a Data Scientist who will design and optimize data pipelines, mentor junior engineers, and collaborate with cross-functional teams to implement machine learning features.

Responsibilities

• Design, build, and optimize data pipelines and ETL workflows in Snowflake using Snowpark, Streams/Tasks, and Snowpipe
• Develop scalable data models, Algorithm supporting user 360 views, churn prediction, and recommendation engine inputs
• Lead integration across data sources: 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
• Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII)
• Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications
• Tune algorithm performance
• Establish data partitioning, clustering, and materialized views for fast query execution
• Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight)
• Establish and enforce naming conventions, data lineage, and metadata standards across schemas
• Lead code reviews, enforce documentation standards, and manage schema versioning
• Contribute to the company’s evolving data mesh and streaming architecture vision

Skills

• 5+ years of experience in Data Scientist, with 3+ years in Spark framework
• Strong SQL and Python skills, with proven experience building ETL/ELT at scale
• Deep understanding of algorithm performance tuning, query optimization, and warehouse orchestration
• Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar)
• Solid understanding of data modeling (Kimball, Data Vault, or hybrid)
• Proficiency in Kafka, GCP, or AWS for real-time or batch ingestion
• Familiarity with API-based data integration and microservice architectures
• Experience lead machine learning teams or/and deploying ML feature pipelines
• Background in ad-tech, gaming, or e-commerce recommendation systems
• Familiarity with data contracts and feature stores (Feast, Tecton, or custom-built)
• Experience managing small data engineering teams and setting technical direction
• Strong ownership and ability to work autonomously in a fast-paced environment
• Excellent cross-functional communication — can translate between engineering and business
• Hands-on problem solver who balances velocity with reliability
• Collaborative mentor who raises the bar for team quality and discipline

Benefits

• Medical, dental, and vision
• PTO
• A personalized career roadmap for each employee
• Professional development through training and educational opportunities

Company Overview

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