Data Scientist, Marketing

Qualifications

• 1–5 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred). - Understanding of marketing measurement across paid media, brand/awareness, social, and direct marketing channels (e.g., email, push, CRM). - Familiarity with core performance metrics such as CAC, ROAS, retention, engagement, and LTV. - Experience working with marketing data from ad platforms, CRM systems, or aggregate reporting environments. - Proficiency in SQL and experience using Python (or similar) for analysis. - Experience working with large datasets in a cloud data warehouse (e.g., BigQuery) and building dashboards in BI tools (e.g., Looker). - Strong analytical, communication, and stakeholder management skills in a cross-functional environment. Plus If…

• Experience supporting brand or upper-funnel marketing measurement. - Exposure to marketing mix modeling or other aggregate-level measurement frameworks. - Familiarity with lifecycle marketing analytics, segmentation modeling, or propensity modeling. - Experience building marketing data pipelines using Airflow, Composer, or similar orchestration tools. - Experience working with global marketing teams across multiple regions. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range

$141,800—$202,500 USD