Applied Data Scientist

We are looking for a highly skilled Senior Applied Data Scientist who thrives at the intersection of AI, product thinking, and innovation. The ideal candidate will be responsible for developing Data Science & ML algorithms to solve complex, real-world business problems across the team.blue group. This role requires strong analytical skills, programming, problem solving and data wrangling skills, good communication abilities, and up-to-date knowledge of the latest Data Science/ML/AI developments., * Break down multi-domain business problems with a strong focus on return on investment and impact metrics, and think through the appropriate technical methods from POC to production

• Develop solutions and extract insight from data using data science and classical machine learning methods and generative AI (GenAI)
• Take ownership of developing, implementing, and automating robust data science and ML models and pipelines, including feature generation, modeling, evaluation, retraining and deployment
• Translate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metrics
• Collaborate with cross-functional teams to understand requirements and deliver innovative Data Science/ML/AI solutions
• Conduct research on the latest Data Science/ML/AI developments and apply them to improve our systems
• Document processes, code, and findings for future reference and knowledge sharing

• 8+ years hands-on industry experience solving data science and machine learning problems to address real-world business problems across multiple verticals
• Expert programming skills in Python and SQL and with relevant Data Science & ML frameworks (Scikit-learn, Pandas, PyTorch, etc)
• Ability to think through problems from fundamental principles and operate with a high degree of independence and autonomy while bringing clarity to under-specified problems
• Deep understanding of statistical and ML algorithms, methodologies and approaches ranging from SVMs to deep learning & LLMs
• Ability to own the end to end of the lifecycle of ML/AI projects from conception to containerization
• History of hands-on ownership & implementer of projects that have been put in production and made an impact
• Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
• Strong problem-solving skills with excellent verbal & written communication and the ability to craft analysis into well-written and persuasive content
• Ability to work collaboratively with cross-functional teams, * Master's or PhD degree in Computer Science, AI, Physics, Applied Mathematics, Machine Learning, or related fields.
• Deep understanding of current DataOps & MLOps practices, deploying and monitoring models and ETL (extract, transform and load) pipelines
• Experience with AI/ML R&D
• Experience across startups and enterprise firms
• Experience with distributed data tools (e.g. Spark, Dask, Apache Arrow), observability frameworks (OTel)

team.blue is the market leader in enabling digital success for small and medium-sized businesses (SMBs) across Europe, catering to over 3 million customers in 25+ languages. Our mission is to make online business success simpler, by providing our customers with all the tools and resources they need to excel online and remain ahead of the curve.