Data Scientist with English

Are you driven by challenges and excited to work with cutting-edge technologies?

Passionate about creating data into powerful, strategic insights?

Would you like to work with a dynamic and global presence product?

Our client, an innovative tech startup, operating across three dynamic hubs—Warsaw, Barcelona, and Virginia. Expanding their Barcelona team, is looking for talented MLOps Engineers to join their mission-driven team.

Join a vibrant Data Tech-Hub where a passionate team of Machine Learning, Data Analysts, and Data/ML Engineers is ready to innovate and inspire!

• Conduct in-depth data analysis to uncover trends, patterns, and insights; solve complex data challenges autonomously
• Develop full-cycle data science solutions, from analysis and model development to deployment, prioritizing scalability and performance for ad targeting, bid optimization, and campaign analytics
• Work closely with technical and business teams to translate needs into data-driven solutions, focusing on ad effectiveness and return on investment (ROI)
• Maintain and enhance existing data pipelines and machine learning models within ad-tech, ensuring efficiency and responsiveness to market trends

• Educational background in Computer Science, Statistics, Mathematics, or similar; Bachelor’s or Master’s degree required
• At least 3 years in data science, preferably product-oriented, with 2+ years in AdTech
• Advanced skills in Python and SQL, with experience using data manipulation tools like PySpark and Pandas
• Expertise in cloud services (e.g., AWS) and deep neural network (DNN) training libraries (e.g., PyTorch, Hydra, Comet)
• Strong statistical modeling, machine learning, and analytical skills for deriving insights from complex data
• Excellent communication and teamwork abilities for cross-functional collaboration

• Competitive salary and performance-based bonuses
• Relocation package (if applicable)
• Comprehensive benefits package
• Opportunities for professional development and support for continuing education
• Flexible work hours and vacation policy