ABOUT YOU
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 & Skills
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.
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 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, 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 Senior Data Developer, 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
[email protected].
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 [email protected].
