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Xsolla logo
Xsolla

Xsolla's video game business engine helps game developers and publishers operate more efficiently and sell more games.

Data Developer

Software EngineerSoftware EngineerOtherRemoteMid LevelTeam 201-500Since 2005H1B SponsorCompany SiteLinkedIn

Location

Maryland

Posted

100 days ago

Salary

$75K - $80K / year

Seniority

Mid Level

Bachelor Degree2 yrs expEnglishAirflowAmazon RedshiftBigQueryPythonSQL

Job Description

Data Developer

Xsolla

• 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.

Job Requirements

  • 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.

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