Senior Data Scientist - AdTech Focus

About the Role

Join our team as a Senior Data Scientist to work remotely and help shape how millions of ads reach their audience every day. Our client, a rapidly scaling global tech company, is redefining mobile app monetization through advanced data science and advertising intelligence. With a strong international presence across Spain, Poland, and the United States, they foster a culture built on diversity, collaboration, and technical excellence.

What You'll Do

• Explore and analyze large and complex datasets to identify trends, patterns, and actionable insights, working independently on challenging data problems.
• Design, build, and deploy end-to-end data science solutions, from early analysis and model development to production, ensuring scalability and high performance.
• Develop and refine machine learning models focused on advertising use cases, including ad targeting optimization, bidding strategies, and campaign performance evaluation.
• Partner with product, engineering, and business teams to translate commercial and technical needs into effective, data-driven solutions that improve advertising impact and ROI.
• Maintain, monitor, and enhance data pipelines and machine learning systems, particularly within ad-tech environments, adapting them to changing market dynamics.
• Work with modern data and ML tooling, including Python and SQL, data processing frameworks such as PySpark and Pandas, and cloud-based infrastructures.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related technical field.
• 5+ years of professional experience in data science, ideally within product-driven or data-intensive organizations.
• At least 3 years of hands-on experience working in the AdTech domain or with advertising-related data and platforms.
• Strong analytical and problem-solving skills, with the ability to extract insights from complex and high-volume datasets.
• Solid background in statistical analysis and machine learning techniques, including the training and evaluation of advanced models.
• Excellent communication and collaboration skills, with proven experience working in cross-functional, multidisciplinary teams.

Nice to Have

• Experience with ETL and analytics platforms like Dagster and Druid or equivalent technologies.
• Familiarity with ML frameworks such as PyTorch and related tooling; experience with Databricks is considered a plus.

What We Offer

• Competitive salary with relocation support.
• Hybrid working model from Barcelona's Hub.
• Comprehensive benefits package.
• Opportunities for professional development and growth.
• Flexible work hours and vacation policy.
• Great opportunity to kick-start your career in Data Science.