Jobgether

Compensation

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist - Marketing Analytics in United States. This role offers an exciting opportunity to combine advanced data science with marketing strategy in a fast-paced, mobile-first environment. The Data Scientist will drive actionable insights that optimize paid social campaigns, improve user acquisition, and maximize customer lifetime value (LTV). You will collaborate closely with cross-functional teams including marketing, finance, and product to measure campaign performance, analyze cohorts, and enhance mobile measurement frameworks. By leveraging SKAdNetwork and other privacy-compliant tracking solutions, you will ensure accurate attribution and optimize budget allocation. Your work will directly influence marketing efficiency, creative strategy, and revenue growth. Success in this position requires strong analytical skills, technical proficiency, and the ability to translate complex data into strategic recommendations for leadership. \n Accountabilities: Lead mobile measurement and attribution initiatives, including configuring SKAdNetwork conversion value schemas and bridging platform data with internal metrics. Develop and maintain marketing analytics dashboards in BI tools such as Tableau or Sigma, serving as the single source of truth for campaign performance. Analyze paid social campaign and creative performance, monitoring key metrics like IPM and CPM, and provide data-driven recommendations to optimize spend and creative allocation. Conduct cohort analyses to understand retention, monetization, and user quality trends across leagues, teams, and performers. Collaborate with marketing and finance teams to assess channel incrementality and support financial scenario planning and target setting. Stay informed on mobile privacy changes and emerging marketing technologies to maintain a competitive advantage in data-driven marketing. Requirements Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 5+ years of experience in marketing analytics, growth data science, or related fields. Expertise in mobile measurement platforms, SKAdNetwork, and privacy-compliant marketing analytics. Strong programming skills in Python or R and SQL for data analysis, predictive modeling, and optimization workflows. Experience with business intelligence and data visualization tools (Tableau, Sigma). Proven ability to collaborate cross-functionally and communicate complex technical insights clearly to non-technical stakeholders. Strong statistical background with experience in experimentation, incrementality measurement, and financial modeling. Proactive, critical thinker with problem-solving skills and the ability to operate in a fast-paced, evolving environment. Benefits Competitive US salary range: $169,272—$199,143 USD. Comprehensive health, dental, and vision coverage, starting from day one. Short & Long-Term Disability, Basic Life Insurance, and 401(k) plan with employer match. Paid time off, company holidays, volunteer hours, and parental leave. Access to mental health and wellness resources, including therapy, coaching, and self-guided programs. Opportunities for professional development, cross-functional collaboration, and career growth in a dynamic, inclusive environment. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1