Lead Data Scientist - Drive TV Ad Tech & Personalization

Titan Operating System; Barcelona; On-site; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Private health insurance

Friendly, diverse, international team

Job summary

Titan OS is seeking a Lead Data Scientist in Barcelona to turn data into products with a strong emphasis on advertising: audiences, targeting, measurement and yield. You will write code, ship models, and set the data science direction while mentoring others and working closely with product, engineering and commercial teams.

The role covers building data products, improving content recommendations and analytics, and driving business decisions through experiments and rigorous analysis.

Qualifications

• 6+ years of data science experience with leadership exposure.
• Track record of building data products that produced business impact.
• Experience in advertising or ad tech: audiences, targeting, measurement or similar.
• Strong Python and SQL skills with common ML libraries.
• Solid statistics including experiments, causal inference and forecasting.
• Experience with large datasets and modern data platforms.
• Knowledge of data privacy and GDPR implications for modeling.
• Professional level of English.

Responsibilities

• Lead data science direction and roadmap with product and engineering.
• Build data products and models that scale and deliver business value.
• Develop audience, targeting, and measurement models for advertising.
• Mentor and grow new data scientists and drive best practices.
• Explain results to technical and non-technical stakeholders, including clients.

Skills

Data science experience

Lead projects

Advertising / Ad tech

Python

SQL

ML libraries

Statistics & experiments

Data privacy / GDPR

English

Tools

DBT/SqlMesh

MLOps tools

Model registries

Orchestration

Job description

Titan OS is seeking a Lead Data Scientist in Barcelona to turn data into products with a strong emphasis on advertising: audiences, targeting, measurement and yield. You will write code, ship models, and set the data science direction while mentoring others and working closely with product, engineering and commercial teams.

The role covers building data products, improving content recommendations and analytics, and driving business decisions through experiments and rigorous analysis.