Senior Data Scientist – Marketing Analytics & AI Enablement

Preply; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Preply is seeking a data-focused professional to advance marketing analytics through MMM and predictive modeling across multiple markets. You’ll partner with marketing, product, and data teams to design data-driven solutions that optimize campaigns, budgets, and results.

You will design and assess incremental ROI, develop unified analytics frameworks, and help scale advanced analytics across the organization, contributing to impactful decisions and growth.

Qualifications

• AI mindset
• Pragmatic problem-solver

Responsibilities

• Collaborate with performance marketing teams to design data solutions for marketing campaigns, budgets, and results.
• Roll out Marketing Mix Modeling (MMM) across more countries and build an automated MMM budget platform using Bayesian statistics.
• Design and analyze incrementality tests to measure marketing effectiveness and quantify incremental ROI.
• Create a unified system linking MMM and incrementality results and shape the testing roadmap.
• Develop a Creative Analytics framework and metrics like creative fatigue to scale new channels.
• Improve targeting and bidding strategies by modeling regression-based predictive weights for funnel events.
• Support the Applied AI team by evaluating model impact, feature importance, and providing business-facing insights.
• Work with Data Engineering to build scalable data pipelines and evolve ETL processes with new tools and frameworks.
• Contribute to cross-company initiatives aligned with the data organization’s vision.
• Assist in applying predictive models to performance marketing channels proactively.

Job description

Preply is seeking a data-focused professional to advance marketing analytics through MMM and predictive modeling across multiple markets. You’ll partner with marketing, product, and data teams to design data-driven solutions that optimize campaigns, budgets, and results.

You will design and assess incremental ROI, develop unified analytics frameworks, and help scale advanced analytics across the organization, contributing to impactful decisions and growth.