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.

Requirements

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data pipelinesmachine learningdata analysisstatistical methodsSQLfeature engineeringdata orchestrationdata transformationmodel validationdata modeling

Soft skills

communicationproblem-solvingindependencecollaborationanalytical thinking