Would you like to be part of a dynamic, international environment full of opportunities?
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Our client is a fast-growing, global technology company on a mission to elevate mobile app monetization. With hubs in Spain, Poland, and the United States and a distributed team worldwide, they champion diversity, collaboration, and innovation. They are expanding in Barcelona and seeking a seasoned Lead Data Scientist to set the vision, scale impact, and guide a high-performing data science team in ad‑tech.
Main responsibilities
- Set vision : Define and drive the team’s data science roadmap aligned with revenue optimisation and ad‑tech objectives.
- Lead & mentor : Grow, coach, and support data scientists, fostering a collaborative, curious, and high‑standard culture.
- Build at scale : Oversee design and deployment of robust models for targeting, bid strategy, and performance analytics.
- Optimize pipelines : Ensure data flows and model lifecycles are efficient, reliable, and adaptable to evolving requirements.
- Partner cross‑functionally : Collaborate with product, engineering, and business stakeholders to turn requirements into measurable impact.
Core skills / experience
- Education : Degree in a quantitative field (Computer Science, Mathematics, Statistics, or related disciplines).
- Experience : 5+ years in data science within product‑centric contexts.
- 2+ years leading teams.
- Substantial exposure to ad‑tech.
- Analytics & ML : Strong command of statistical techniques and machine learning, with a track record of extracting actionable insights from complex datasets.
Technical toolkit
- Programming : Advanced proficiency in Python and SQL.
- Data frameworks : Hands‑on with PySpark and Pandas for large‑scale data manipulation.
- Cloud : Comfortable with cloud services (e.g., AWS or equivalent).
- Deep learning : Experience training DNNs with modern libraries and tooling (e.g., PyTorch, Hydra, Comet).
- Experience in the AdTech industry is required.
What's on offer
- Competitive salary.
- Hybrid working model from Barcelona's Hub (relocation package is included).
- 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.
Our recruitment process?
- Step 1 : Interview with our Recruiter to get to know you.
- Step 2 : Interview with our client's HR Team.
- Step 3 : Technical interview.
- Step 4 : Interview with Hiring Manager.