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Salary
$133k – $157k per year
Location
In office (Zurich)
Seniority
Middle · 2+ years exp
Employment
Full-Time

First seen by Alion on Aug 27, 2026.

Overview
Company
Impact
Profile match
Rockstar Recruiting is a Swiss technology recruitment agency that places software engineers, data scientists and other technical specialists with technology companies and startups. Its consultants combine backgrounds in psychology and IT and recruit for fields such as artificial intelligence, robotics, deep tech and Web3 in Switzerland and Germany. The company is headquartered in Zurich, Switzerland.

Onsite role based in Greater Zurich Area, with limited remote flexibility. You'll join a high-performance, collaborative team at the cutting edge of data-driven decision-making, working closely with researchers and domain experts. Fast feedback loops and a flat structure with an open, knowledge-sharing culture. Competitive compensation in line with the demands of the role.

Requirements

Master's or PhD in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related quantitative discipline

2-3 years of professional Python development experience, with hands-on use of scientific libraries (Polars, Pandas, NumPy, SciPy, or similar)

Proven ability to handle large datasets, architect and optimise data pipelines, and present data clearly to non-technical stakeholders

Solid grounding in calculus, probability, statistics, and optimisation; familiarity with machine learning techniques

Strong computer science fundamentals with the ability to adapt to additional languages

Responsibilities

Build, maintain, and enhance research frameworks and data pipelines that support analytical and quantitative workflows

Develop analysis and visualisation tools in close collaboration with domain experts and researchers who rely on them daily

Own end-to-end product development - from requirements gathering through to production deployment

Navigate complex, multi-system environments making informed trade-offs between throughput, simplicity, scalability, and maintainability

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