Lead Data Scientist

vor 1 Woche

Zurich, Schweiz UNISERS Vollzeit

We are looking for a talented data scientist who is eager to lead the design and implementation of our big data library and machine learning algorithms in close collaboration with customers and the internal system development teams.

**RESPONSIBILITIES & TASKS**
- Development of a smart data library architecture, design and implement the deep learning and machine learning algorithms for the effective implementation of multiple types of UNISERS data.
- Support the software development strategy, roadmap and relevant KPIs.

**SKILLS & EXPERIENCE**
- 5+ years of proven track record of successful Data Science algorithm development, conducting data analysis and developing machine learning & deep learning algorithms.
- Knowledge of modern machine learning frameworks such as TensorFlow by Google, CNTK by Microsoft, Scikit, Amazon or so.
- Expert knowledge of Python and at least one language for statistical modeling and data processing such Matlab/R/Julia/etc..
- Clear and easily understandable code writing skills.
- Degree in data science or in a quantitative discipline (computer science, mathematics, physics),
- Fluent in English, German is a plus.

**PERSONAL CHARACTERISTICS**
- Strategic thinker, good analytical skills,
- Teamwork oriented, effective collaborator,
- Motivated and goal-oriented,
- Good communication skills, able to interact with management and clients at all levels,
- Positive mindset: you can handle stress and failures and you believe in the power of a laugh,
- Ambitious: you are eager to constantly learn and develop yourself and as the company grows; you can see yourself in an important supervisory or technology leadership role also within a larger organization.

**ABOUT UNISERS**

UNISERS AG is a young start-up from ETH Zurich with a revolutionary technology to tackle the biggest challenge in the semiconductor industry: namely, contamination control. Our patented products have been validated to tremendously help the whole semiconductor supply chain (components, materials, wafers, equipment and chip fabs) with quality control by finding and identifying otherwise undetected or unknown contaminations. Therefore, we will help chip makers reduce the amount of wasted chips (often more than 50%), increasing their profit substantially and at the same time contributing to less waste and CO2 emissions. Having closed a 14 Mio $ seed investment round led by Intel Capital, we are scaling up our team to bring our unique technology to industry as fast as possible.

**BENEFITS**
- Competitive salary
- Participation in our attractive ESOP (Employee Stock Ownership Plan)
- Opportunity to shape a growing high-tech company and take over leadership roles
- Modern culture of collaboration
- 25 days of holidays + possibility to reduce workload or acquire additional holidays
- Flexible working hours, including possibility for home office
- Beautiful, practical and well-located office, workshop and clean room laboratory in downtown Zurich
- Personal education (reimbursement of tuition fees)

**Interested?**

**Questions about the job or about UNISERS?

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