---
title: 'Data Scientist at Xsolla'
canonical: 'https://feeny.ai/job/data-scientist-xsolla-canada-rxdjad95yqwq'
type: 'job'
last_seen: '2026-09-08'
---

# Data Scientist at Xsolla

- **Company:** Xsolla
- **Location:** Canada
- **Compensation:** $150k–$220k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-01-14
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/xsolla/1228b276-5183-4981-8620-4fc06632f268

## Job description

## 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.

Responsibilities:

- 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.

Qualification & 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.
- 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

Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration: For the Data Scientist, we will conduct a background check that may include the following Criminal history check Employment verification Education verification

Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities Accessing confidential company data Ensuring compliance with regulatory requirements

Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

## About Xsolla

## Company Overview
- **One-liner**: Xsolla is a global commerce and financial technology company that provides a comprehensive suite of tools and services for video game developers and publishers, including payments, distribution, marketing, and monetization solutions.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: Sherman Oaks (Los Angeles), California, United States
- **Founded**: 2005
- **Founders**: Aleksandr Agapitov (Founder & CEO)

## Core Business
- **Industries**: Video game commerce, financial technology, payment processing, distribution, and capital markets for interactive entertainment.
- **Target Customers**: B2B – game developers and publishers of all sizes, from indie studios to AAA enterprises.
- **Mission**: "We bring opportunities together for the video game industry" – helping creators fund, launch, distribute, and monetize games globally.

## Products & Services
- **Xsolla Payment Solutions**: Global payment orchestration supporting 1000+ payment methods, 130+ currencies, and 200+ geographies. Operates as the merchant of record.
- **Xsolla Web Shop**: White-label direct-to-consumer storefronts that allow developers to sell games and in-game items with higher margins.
- **Xsolla Launcher & Distribution**: Cross-platform game distribution tools and launcher solutions for PC and mobile.
- **Xsolla Partnership Network**: Marketing and audience acquisition services.
- **Xsolla Capital Markets Group (CMG)**: Institutional capital platform providing debt, credit, and special situations financing for game studios, supported by proprietary market intelligence and an LP/investor network.
- **Xsolla Storefront** (in development): White-label Android game store designed for large-file distribution, download management, and multi-tenant theming.
- **Xsolla Anti-Fraud & Compliance**: Risk management and compliance tools tailored to digital gaming transactions.

## Market Standing
- **Valuation**: Not publicly available.
- **Annual Revenue**: ~$100 million (source: LinkedIn data).
- **Total Funding**: Not disclosed (private, bootstrapped/growth equity?).
- **Notable Partners & Clients**: Valve, Twitch, Epic Games, PUBG Corporation, and thousands of other game developers (1,500+ mentioned on careers page).
- **Growth Signals**:
  - 1,079 full-time employees (as of 2025; up ~22% YoY based on earlier LinkedIn data).
  - 16 global offices across Los Angeles, London, Berlin, Dubai, Kuala Lumpur, Tokyo, Beijing, and more.
  - 3,000+ direct-to-consumer web shops launched.
  - 258,343,632 Pay Station visits in 2024.
  - 180.5 million average daily developer API calls.
  - 99.98% platform uptime over the past 12 months.
  - Active expansion of Capital Markets Group with hires in New York, Middle East, and Singapore.

## Competitive Advantages
- **Exclusive video game focus** – All products and services are built specifically for the games industry, unlike generic payment processors.
- **Global merchant of record** – Handles tax, compliance, and fraud in 200+ territories, reducing friction for developers.
- **Relationships with major platforms** – Deep integrations with Steam, Twitch, Epic Games Store, etc.
- **Scale and reliability** – Proven ability to handle hundreds of millions of transactions annually with near-perfect uptime.
- **Capital and investment arm** – Unique ability to provide financing to studios, creating stickiness and aligning incentives.

## Strategic Focus
- Scaling the **Capital Markets Group** as an independent institutional platform serving the interactive entertainment ecosystem (debt, special situations, principal investments).
- Building a **white-label Android game store** to capture mobile distribution and compete with traditional app stores.
- Deepening **AI integration** across QA, testing, and hiring processes (Director of QA role explicitly mentions AI-assisted testing; AI used in recruitment).
- Expanding presence in high-growth markets: **Japan** (CMO/VP Marketing role), Middle East, and Southeast Asia.

## Why Work Here
- **Culture**: "We build from the inside out" – competitive salary, flexible time off, hybrid/remote options, health insurance, retirement programs, family leave, generous in-office amenities, disability and life insurance.
- **Work Model**: Hybrid and remote available across global offices.
- **Engineering Culture**: High ownership, modern stack (Android/Kotlin, large-file distribution, multi-tenant theming, CI/CD, cloud infrastructure). Engineers work on greenfield projects like the white-label game store.
- **Growth Opportunities**: New hires in the Capital Markets group have "executive sponsorship, meaningful ownership, and the mandate to build a durable franchise." Rapidly scaling company with expanding teams.
- **Global, diverse team**: Employees from 52+ countries; offices in 12 countries.

## Sources
1. [Xsolla Careers](https://xsolla.com/careers)
2. [LinkedIn – Xsolla Company Profile](https://linkedin.com/company/xsolla)
3. [Xsolla About Us](https://xsolla.com/about-us)
4. [Xsolla Culture & Values](https://xsolla.com/our-culture-and-values)
5. [Xsolla Jobs on Lever](https://jobs.lever.co/xsolla)

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