Support design and maintenance of data pipelines, build analytical datasets and feature pipelines, assist with ML model development (LTV, churn, segmentation), integrate APIs, ensure data quality and reproducibility, and partner with cross-functional teams to turn data into actionable insights.
Big Huge Games is seeking an Associate Data Developer to help develop data-driven insights, models, and analytical systems that inform game development, player experience, and marketing performance. In this role, you will work with player and marketing data, contribute to machine learning models, and help integrate data from internal and external APIs to support experimentation, prediction, and decision-making across the organization.
This position is well-suited for someone with 1-3 years of professional experience who is eager to grow their skills, take ownership of analytical problems with guidance, and translate data into actionable insights in a collaborative, fast-paced environment.
Responsibilities
- Contribute to the design, build, and maintenance of data pipelines that ingest player, game, and marketing data from databases, event streams, and external APIs.
- Assist in developing, evaluating, and iterating on 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 help frame business questions, define success metrics, and surface actionable insights.
- Support data quality, reliability, and reproducibility through testing, documentation, and version control.
- Help integrate model outputs into dashboards, reporting tools, or downstream systems to support operational decision-making.
- Continuously learn and improve your own analytical workflows, modeling approaches, and data tooling under the guidance of senior team members.
Qualifications
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent professional experience.
- 1–3 years of professional (non-academic) experience in a data, analytics, or engineering role.
- Proficiency in Python for data analysis and modeling, with some exposure to working with RESTful APIs.
- Working knowledge of statistical methods and machine learning techniques applied to real-world datasets.
- Solid SQL skills and experience querying large datasets; familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, or Redshift) is a plus.
- Some exposure to data transformation or orchestration tools (e.g., dbt, Airflow) is a plus but not required.
- Willingness to independently own tasks and work through ambiguous problems, with support from the broader team.
- Clear communication skills with the ability to explain analytical findings to both technical and non-technical stakeholders.
Nice to Have
- Exposure to deploying or productionizing machine learning models in any capacity.
- Familiarity with MLOps concepts such as model versioning, monitoring, or retraining.
- 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 U.S. for the right candidate.
Top Skills
Airflow
Appsflyer
BigQuery
Dbt
Mlops
Python
Redshift
Restful Apis
Snowflake
SQL
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