Senior Data Scientist

Stack

Responsibilities

• ▹Collaborate with performance marketing teams on data solutions to optimise campaigns, budgets and results
• ▹Roll out Marketing Mix Modelling (MMM) to more countries and help build an automated MMM budget platform using advanced Bayesian statistics
• ▹Design and analyse incrementality tests to measure marketing effectiveness, using causal inference to quantify incremental ROI
• ▹Design a unified system that connects MMM and incrementality results
• ▹Shape the testing roadmap
• ▹Design the Creative Analytics framework with new metrics such as creative fatigue to help scale new channels
• ▹Improve targeting and bidding strategies using regression models that assign predictive weights to funnel events
• ▹Act as a sparring partner to the Applied AI team: support model roll-out, analyse impact and understand feature importance
• ▹Work with the Data Engineering team on scalable data pipelines, the evolution of ETL processes and the adoption of new tools and frameworks
• ▹Contribute to cross-company initiatives in line with the data organisation's vision
• ▹Proactively support the application of predictive models in performance marketing channels

Requirements

• ▹An AI mindset: you use AI to boost efficiency, work agentically, automate processes and enable stakeholders
• ▹Pragmatic problem-solver who finds the simplest, most elegant path through complexity
• ▹Extensive experience as a Data Scientist working with performance marketing teams in a B2C environment, delivering business insights and data products
• ▹Knowledge of incrementality and attribution
• ▹Skilled in developing and deploying machine learning models
• ▹Experience with experimentation (design and evaluation of A/B tests)
• ▹Experience in marketplace and/or digital business environments in the context of performance marketing
• ▹Strong coding skills in SQL and Python
• ▹Creative mindset and proactive attitude towards creating and evaluating new solutions
• ▹Strong curiosity, problem-solving and problem-finding skills
• ▹Advanced written and verbal communication skills in English

Nice to have

• ▹Previous experience with causal inference techniques (e.g. geo-lift testing, causal impact, synthetic control, difference in differences)
• ▹Experience with Databricks, Snowflake, Looker
• ▹Experience with Apache Spark and knowledge of data orchestration tools (e.g. dbt and Airflow)

Soft skills

What we offer

• ▹Open, collaborative, dynamic and diverse culture
• ▹Generous monthly allowance for lessons on Preply.com, learning and development budget and time off for self-development
• ▹Competitive financial package with equity, leave allowance and health insurance
• ▹Relocation package to the Barcelona hub
• ▹Access to free mental health support platforms
• ▹Gympass-partnered wellness and gym centres throughout Spain

About the company

Preply's Data team is growing to empower decision-making and works closely with product, business and platform teams through analysis, experimentation, causal inference and machine learning. Data scientists are embedded in cross-functional teams with the MarTech Product Manager, marketers, tech leads and the Data Strategy team.