Data Scientist, Marketing

About the role

The organization is seeking a data-driven professional to integrate into the global marketing organization and take ownership of analytical strategy. In this capacity, the hire will be responsible for constructing measurement frameworks that provide clarity on campaign performance and user behavior. The role requires the development of analytical models to proactively guide user acquisition initiatives and brand investment decisions. You will be expected to leverage a clear vision for how artificial intelligence can enhance and streamline marketing workflows. This position demands a strong technical background to translate complex data into actionable business insights. The successful candidate will act as a bridge between data science and marketing execution to ensure decisions are evidence-based. You will own the integrity and accuracy of the data products that inform critical marketing choices. The role is designed for an individual who can operate with autonomy while collaborating closely with cross-functional partners.

Key facts

What you'll do

• Create and maintain ETL pipelines to process data from ad networks, MMPs, and internal systems.
• Develop predictive LTV models to optimize UA campaigns and improve return on investment.
• Build AI-based systems to automate data inquiries and pipeline troubleshooting for efficiency.
• Implement marketing mix modeling and incrementality testing to measure true cross-channel impact.
• Collaborate with Finance and UA teams on forecasting and investment strategies to align resources.
• Manage data workflows for CRM channels including email, push notifications, and in-app messaging.
• Design scalable dashboards to support self-serve marketing analytics and reduce dependency requests.
• Utilize AI coding assistants and automated modeling tools to increase analysis speed and code quality.
• Establish data quality checks and monitoring to ensure reliability of marketing analytics outputs.
• Synthesize complex analytical findings into clear narratives for stakeholders with varying technical literacy.
• Partner with media teams to validate audience targeting strategies using first-party data insights.
• Lead experiments to test new marketing channels and quantify performance using statistical methods.
• Document methodologies and analytical frameworks to ensure reproducibility and knowledge transfer.
• Drive the adoption of data best practices across the marketing lifecycle from acquisition to retention.

Requirements

• 1 to 5 years of experience in data science or marketing analytics, ideally in gaming, mobile, or digital consumer sectors.
• Proficiency in SQL and Python to manipulate data and build analytical models.
• Experience with cloud data warehouses like BigQuery and BI tools such as Looker for visualization.
• Knowledge of marketing performance metrics including CAC, ROAS, retention, and LTV to evaluate success.
• Ability to manage stakeholders in a cross-functional environment to drive alignment on goals.
• Mandatory: Demonstrated use of AI in professional data or marketing tasks to augment capabilities.
• Strong understanding of data structures and database design to support scalable solutions.
• Capacity to work independently and meet deadlines in a fast-paced, dynamic environment.
• Excellent communication skills to articulate technical concepts to non-technical audiences.
• Willingness to mentor junior analysts and share expertise to elevate the team's overall capability.
• Commitment to data privacy and compliance with relevant regulations in all marketing activities.
• Readiness to adapt to changing priorities and contribute to high-impact initiatives as needed.

Nice to have

• Experience with brand or upper-funnel measurement to assess awareness and consideration metrics.
• Familiarity with marketing mix modeling to understand channel interactions and diminishing returns.
• Background in lifecycle marketing, segmentation, or propensity modeling to personalize user journeys.
• Experience with orchestration tools like Airflow or Composer to automate data pipeline workflows.
• Experience working with global marketing teams across multiple regions to handle localization needs.

Practical notes

• Compensation includes base salary, equity, and bonuses as part of the total rewards package.
• Benefits package includes healthcare, retirement plans, pet insurance, paid holidays, Scopely free days, and unlimited paid time off.
• Official applications must be submitted through the Scopely website to ensure proper consideration.
• Scopely will never request payment or financial information during the hiring process under any circumstances.