Senior Applied Data Scientist

team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and to empower businesses with innovative digital services.

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.

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.

Nice to Have Skills

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).

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