数据科学家
Data Scienist
你具备数据驱动的问题解决能力，在工程与科学的交汇点上茁壮成长。你在快节奏的环境中具有很强的自主性和责任感，能够在速度与可靠性之间取得平衡。作为一位协作型导师，你提升团队的质量和纪律性，同时将复杂的技术概念转化为商业价值。你热衷于构建可扩展的解决方案，并具备出色的跨职能沟通能力，能够连接工程与业务相关方。
关于我们
Xsolla 是一家全球性的商业公司，提供强大的工具和服务，帮助开发者解决视频游戏行业的固有挑战。从独立开发到AAA级公司，企业都与Xsolla合作，以帮助他们获得资金、分发、营销和变现他们的游戏。基于对视频游戏未来前景的信念，Xsolla致力于汇聚机会，并不断为创作者提供新的资源。总部位于加利福尼亚州洛杉矶，Xsolla作为交易商运营，已帮助超过1,500+位游戏开发者在全球范围内触达更多玩家并增长其业务。随着更多盈利路径和获胜方式的出现，开发者拥有享受游戏所需的一切。
更多信息，请访问 xsolla.com。
职责：
- 1. 架构与开发
- 使用 Snowpark、Streams/Tasks 和 Snowpipe 在 Snowflake 中设计、构建和优化数据流水线和 ETL 工作流。
- 开发可扩展的数据模型，支持用户360视图、流失预测和推荐引擎输入的算法。
- 领导跨数据源的集成：MySQL、BigQuery、Redis、Kafka、GCP 存储和 API 网关。
- 使用 Git、dbt 和自动化测试实现数据流水线的 CI/CD。
- 定义数据质量检查和审计流水线，用于数据摄取和转换层。
- 2. 领导力与协作
- 指导初级数据工程师进行数据建模、性能调优和 Snowflake 最佳实践。
- 与数据科学、机器学习和后端团队合作，将机器学习特性在 Snowflake 中产品化。
- 与法律、安全和基础设施团队紧密合作，确保用户数据（PII）的合规性、隐私性和治理。
- 与数据平台总监和产品相关方协作，将业务需求转化为技术规范。
- 3. 性能与可扩展性
- 调整算法性能。
- 建立数据架构和系统设计标准，确保高可用性和可扩展性。
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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 .
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 .
Originally posted on Himalayas