Geneva, GE, Switzerland
July 25, 2022
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We are seeking for a Senior Data Scientist capable of providing expertise on DS project and advise a technical team composed of Data Scientists and AI Experts.
The responsibilities of the Senior Data Scientist include expertise, advising and mentoring the team (including internships and trainees in Master Thesis), securing fixed price projects.
You will need to be innovative, methodical, solution-oriented (not problem-oriented!), and communicative to be considered as a trust advisor.
In this role
- In project: analysis of business needs, definition of the project (data collection and processing principles, Machine Learning models, reporting of analyses and results obtained to the business and sponsors, deployment into production).
- Technical coaching of team members: solution and code review/advises on projects…
- Offers: Manage or be contributor in responses to tenders
- Various: writing articles, event animation…
What we offer
- Get the opportunity to expand your knowledge and experience by working on a broad range of exciting projects, products, customers and technologies
- A dynamic work and collaborative environment with a highly motivated multi-cultural and international sites team
- Attractive prospects for career path & Personal development through training and coaching
- The chance to make a difference in peoples’ life by building innovative solutions
- Various internal coding events (Hackathon, Brownbags), see our technical blog
- Monthly After-Works organized per locations
- Good work-life balance (2 days per week from home)
- Attractive pension fund with 3 types of employees’ contributions
- Premium and worldwide coverage with Zurich insurance fully supported by the company
- 1/2 SBB fare abonnement
- Mobile and internet discount program
About your profile
- Academic degree of a university, university of applied sciences or technical college with at least 5 to 7 years’ hands-on experience. As ML & AI is a core activity within ELCA group, strong focus is given on this and we expect concrete experience in the implementation of data science solutions (development and deployment in a real-life).
- At least three years’ experience in the design and implementation of machine learning models in various industry domain
- Experience in natural language processing applications such as dialogue systems and text classification is a strong asset
- Experience in successfully managing data science projects (within an agile framework is a plus)
- MLOps ready
Other skills:
- Flexibility to travel around Switzerland (mostly in Romandie)
- Excellent presentation and communication skills with the ability to evangelize to non-experts
- Your strengths include an efficient style of working both autonomous and in a team, and a distinct customer focus
- Fluent in French and English, German is a plus
