Xsolla
Xsolla3mo ago
CAD 150000–2200000/yr

Data Scientist

CanadaCanadaRemoteFull timemid
Data ScienceData ScientistDataData & AI
0 views0 saves0 applied

Quick Summary

Overview

ABOUT YOU We are looking for a data-driven problem solver who thrives at the intersection of engineering and science. You have strong ownership and work autonomously in fast-paced environments,

Technical Tools
Data ScienceData ScientistDataData & AI
ABOUT YOU
 
We are looking for a data-driven problem solver who thrives at the intersection of engineering and science. You have strong ownership and work autonomously in fast-paced environments, balancing velocity with reliability. As a collaborative mentor, you raise the bar for team quality and discipline while translating complex technical concepts into business value. You're passionate about building scalable solutions and have excellent cross-functional communication skills that bridge engineering and business stakeholders.
 
ABOUT US
 
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
  • 1. Architecture & Development
  • 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.
  • 2. Leadership & Collaboration
  • 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.
  • 3. Performance & Scalability
  • 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).
  • 4. Governance & Best Practices
  • 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.
  • 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 tuningquery 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 KafkaGCP, or AWS for real-time or batch ingestion.
  • Familiarity with API-based data integration and microservice architectures.
  • Preferred
  • 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
  • Listing Details

    Posted
    January 14, 2026
    First seen
    March 26, 2026
    Last seen
    April 24, 2026

    Posting Health

    Days active
    29
    Repost count
    0
    Trust Level
    51%
    Scored at
    April 24, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
    Xsolla
    Xsolla
    lever

    Xsolla is a global video game commerce company that provides developers and publishers with tools and services for funding, marketing, launching, and monetizing games across multiple platforms.

    Employees
    750
    Founded
    2005
    View company profile
    Newsletter

    Stay ahead of the market

    Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.

    A
    B
    C
    D
    Join 12,000+ marketers

    No spam. Unsubscribe at any time.

    XsollaData ScientistCAD 150000–2200000