FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Data Scientist – Extensions
FundamentalData 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.
Tech Stack
Tools & technologiesNumpyPandasPythonScikit-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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningPythonpandasnumpyscikit-learnXGBoostLightGBMCatBoostexperimental design
Soft Skills
collaborationautonomyproblem-solvingcritical thinkingcommunicationadaptabilityattention to detailcreativitytime managementprioritization