Senior Applied Data Scientist

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team.blue

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🛍️ eCommerce

SaaS • eCommerce • Technology

team. blue is a leading digital enabler for companies and entrepreneurs, serving over 3. 3 million customers across Europe. With a team of more than 2000 experts, they provide innovative digital services aimed at empowering businesses through technology. team. blue operates a variety of brands and focuses on delivering excellent customer experiences.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• "Come as you are" Everyone is welcome here. Diversity & Inclusion are at our core. • ESG "At team.blue , our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here .”