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Fundamental

Data Scientist – Extensions

Fundamental

Data Scientist developing data science capabilities for AI-driven enterprise decision-making. Collaborating on technical challenges to improve predictive performance across various use cases and data types.

Posted 6/22/2026full-timeRemote • 🇪🇺 Anywhere in EuropeMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
NumpyPandasPythonScikit-Learn

About the role

Key responsibilities & impact
  • Research and develop data science methods that improve NEXUS predictive performance across diverse enterprise datasets, industries, and prediction task types
  • Design and implement robust, production-quality Python components with a strong focus on correctness, generality, and reusability
  • Deeply understand the characteristics of real-world enterprise data and develop strategies that help NEXUS handle them reliably
  • Run rigorous experiments to measure the impact of new approaches, design meaningful benchmarks, and use results to guide prioritization
  • Work across a wide variety of structured data problems - including but not limited to classification, regression, ranking, and forecasting
  • Collaborate closely with the Engineering and Research teams to develop a deep understanding of NEXUS model behavior and use that knowledge to inform your work
  • Work with Applied AI Engineers to validate approaches on real customer datasets and translate findings into product capabilities
  • Contribute to technical documentation and internal best practices, helping the broader team apply new capabilities correctly and confidently

Requirements

What you’ll need
  • 5+ years of experience in data science or machine learning roles
  • Strong Python skills, including fluency with pandas, numpy, and scikit-learn
  • Deep hands-on experience with traditional ML models: XGBoost, LightGBM, CatBoost, and similar gradient boosting frameworks
  • Solid understanding of what makes real-world tabular data challenging: class imbalance, high cardinality, distribution shift, missing values, and more
  • Strong experimental mindset - comfortable designing benchmarks and drawing rigorous conclusions from noisy results
  • Ability to work autonomously and drive work from idea to shipped output

Benefits

Comp & perks
  • Competitive compensation with salary and equity
  • Comprehensive health coverage for you and your dependents
  • Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
  • Relocation support for employees moving to join the team in one of our office locations
  • A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data sciencemachine learningPythonpandasnumpyscikit-learnXGBoostLightGBMCatBoostexperimental design
Soft Skills
collaborationautonomyproblem-solvingcritical thinkingcommunicationadaptabilityattention to detailcreativitytime managementprioritization