Data Scientist - Extensions

Jobgether • Switzerland

Relocation

This Job is No Longer Active This position is no longer accepting applications

AI Summary

As a Data Scientist focused on Extensions, you will advance cutting-edge AI systems for enterprise decision-making at scale. Your responsibilities include researching and developing advanced data science methods, designing production-quality Python components, and collaborating with research and engineering teams to improve model performance across diverse industries. Key requirements include 5+ years of experience, strong Python proficiency, and deep expertise in gradient boosting frameworks.

Key Highlights

5+ years of Data Science experience

Strong Python proficiency with pandas, NumPy, scikit-learn

Expertise in gradient boosting frameworks (XGBoost, LightGBM, CatBoost)

Research-to-production pipeline for large-scale tabular models

Collaboration with research, engineering, and applied AI teams

Key Responsibilities

Research and develop advanced data science methods to improve predictive performance across large-scale structured enterprise datasets and diverse prediction tasks

Design, implement, and maintain production-quality Python components with a strong focus on correctness, scalability, and reusability

Analyze real-world enterprise data characteristics and design strategies to ensure robust model performance under conditions such as missing data, class imbalance, and distribution shifts

Design and run rigorous experiments, build meaningful benchmarks, and evaluate model improvements using statistically sound methodologies

Collaborate closely with research and engineering teams to understand model behavior and translate insights into product improvements

Partner with Applied AI Engineers to validate approaches on real customer datasets and transform findings into deployable capabilities

Contribute to technical documentation, internal tooling, and best practices to improve reproducibility and knowledge sharing across teams

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Technical Skills Required

Python pandas NumPy scikit-learn XGBoost LightGBM CatBoost

Benefits & Perks

Competitive compensation package including salary and equity

Comprehensive health coverage for you and your dependents

Paid parental leave for all parents

Relocation support for candidates joining office locations

Mission-driven, low-ego culture focused on ownership, collaboration, and impact

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Nice to Have

Experience working with structured prediction problems in domains such as finance, healthcare, supply chain, retail, or industrial applications

Familiarity with tabular foundation models (e.g., TabPFN, CARTE)

Exposure to tools such as DuckDB, Polars, or modern in-process analytics engines

Experience participating in competitive data science environments (e.g., Kaggle, DrivenData) or contributing to ML libraries

Ability to read, interpret, and apply machine learning research papers in practical implementations

Job Description

As a Data Scientist focused on Extensions, you will help advance cutting-edge AI systems designed for enterprise decision-making at scale. You will work on complex structured data problems, improving the predictive performance of large tabular models across diverse industries and real-world use cases. This role sits at the intersection of research and production, requiring you to translate experimental ideas into robust, production-grade solutions that directly impact enterprise customers. You will collaborate closely with research, engineering, and applied AI teams to understand model behavior and enhance system capabilities. The environment is highly technical, fast-moving, and research-driven, offering the opportunity to contribute to foundational AI technology. Your work will directly influence how large organizations leverage data to make better, faster, and more accurate decisions.

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