Senior Applied Data Scientist

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.

Position Overview

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.

Responsibilities:

• 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

Required Skills

• 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