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Data Scientist - Extensions

Fundamental· Engineering
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RemoteFull-timePosted 4mo ago

About the role

Research, develop, and productize data science capabilities to enhance and expand product performance on real enterprise use cases, across diverse prediction tasks, data types, and business domains; ship production-grade work with direct impact on production use cases.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:PythonTraditional ML modelsTabular data problemsExperimentationAutonomous work

Benefits

  • 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
Last updated Sep 22, 2026. Interested? Apply on the company site.

About Fundamental

The Power to Predict

The Power to Predict. Our most powerful Large Tabular Model. Pre-trained on billions of real-world enterprise tables, our model knows which patterns drive which outcomes.

NEXUSOur World’s Most Powerful Large Tabular ModelPre-trained on billions of real-world enterprise tablesEnterprise AIData AnalyticsTime SeriesConfidential ComputingCloud
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