Posted at: 13 January

Senior Data Developer

Company

Xsolla

Xsolla is a Los Angeles-based B2B fintech company specializing in payment software and commerce solutions for the global video game industry.

Remote Hiring Policy:

Xsolla offers remote positions, with team members located in various regions, including the United States and beyond. Specific hiring locations are not explicitly defined.

Job Type

Full-time

Allowed Applicant Locations

Worldwide

Salary

$127,000 to $148,000 per year

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Job Description

Big Huge Games is seeking a Senior Data Developer to develop data-driven insights, models, and analytical systems that inform game development, player experience, and marketing performance. In this role, you will work with large-scale player and marketing data, build and deploy machine learning models, and integrate data from internal and external APIs to support experimentation, prediction, and decision-making across the organization.
This position is suited for a senior individual contributor who is comfortable owning complex analytical problems end-to-end, collaborating with cross-functional partners, and translating data into actionable insights.

Responsibilities

    • Design, build, and maintain robust data pipelines that ingest player, game, and marketing data from databases, event streams, and external APIs.
    • Develop, evaluate, and deploy machine learning models for use cases such as LTV prediction, churn forecasting, player segmentation, and marketing optimization.
    • Build and optimize analytical datasets and feature pipelines that support modeling, experimentation, and reporting.
    • Partner with Product, Game Design, Marketing, and Analytics teams to frame business questions, define success metrics, and deliver actionable insights.
    • Ensure data quality, reliability, and reproducibility through testing, monitoring, documentation, and version control.
    • Integrate model outputs into dashboards, reporting tools, or downstream systems to support operational decision-making.
    • Continuously improve analytical workflows, modeling approaches, and data tooling to increase accuracy, scalability, and efficiency.

Qualifications

    • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent professional experience.
    • Experience with data orchestration and transformation tools (e.g., Airflow, dbt).
    • Proficiency in Python for data analysis, modeling, and working with RESTful APIs (e.g., data ingestion, authentication, pagination).
    • Strong experience applying statistical methods and machine learning techniques to real-world datasets.
    • Advanced SQL skills and experience working with large, complex datasets in cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
    • Experience designing features, validating models, and evaluating performance using appropriate metrics.
    • Ability to independently own analytical projects and operate effectively in ambiguous problem spaces.
    • Strong communication skills with the ability to explain complex analyses to technical and non-technical audiences.

Nice to Have

    • Experience deploying machine learning models into production or near-production environments.
    • Familiarity with MLOps concepts such as model versioning, monitoring, and retraining workflows.
    • Background in digital marketing analytics, attribution, or performance optimization.
    • Experience working with third-party analytics or attribution APIs (e.g., AppsFlyer or similar).
    • Games industry experience and a passion for games.

Location

    • Our headquarters are in Timonium, MD. While MD-based candidates are preferred, remote work may be available for candidates in approved states.
    • We would also be happy to hire outside the US for the right candidate.
$127,000 - $148,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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