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Position title
Junior Data Scientist (40%)
Description
Up to 40% of the CO2 emissions are caused by buildings. A considerable proportion of these emissions arises from inefficient operating settings of the building equipment. myFacility is addressing this problem by developing a data-driven, dynamic and automated energy optimization solution. It minimizes the energy expenses and environmental carbon footprint of buildings.
myFacility offers two products: myFacility ANALYZE and myFacility OPTIMIZE. While myFacility ANALYZE permanently seeks for inefficient energy moments in buildings and formulates recommendations how to release the saving potential, myFacility OPTIMIZE steers all building systems and releases any saving potential in real time. myFacility has been founded in 2020 and is a fast-growing venture supported by Innosuisse.
Having closed our pre-seed round, we are looking for an ambitious individual who wants to roll up their sleeves and make a difference. You will become an integral part of our hands-on and fun team and have a big impact on the future development of our company.
Responsibilities
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Analyze optimization problems and data
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Develop, test and implement algorithms (ML, others) for physical world applications (building technology)
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Set up operational workflows (development, tests, rollouts, model maintenance)
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Drive innovation partnerships with universities
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Support Software Team and CTO
Qualifications
Minimum qualifications:
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M.Sc. or PhD in Physics, Computer Science or Mathematics or a related field
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Experience with machine learning (ML) solutions
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Solid Python knowledge
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Exceptional analytical skills
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Fascinated to optimize things (buildings, workflows, code...). Willingness to take algorithms to the next level.
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English speaking
Preferred qualifications:
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Basic understanding of Building Technology Systems
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Experience with time-series algorithms for physical world applications
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Experience working with machine learning pipelines and/or distributed machine learning
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Excellent communication skills
Job Benefits
The salary includes a market standard salary for a start-up and participation in the Employee Stock Ownership Plan (ESOP).
Contacts
Simon Solenthaler is looking forward to receiving your full application by email.
Simon Solenthaler, Mobile +41 77 481 85 11
simon.solenthaler@myfacility.ch
Hiring organization
Employment Type
Part-time
Beginning of employment
Immediately or according to availability
Duration of employment
Unlimited
Industry
ICT, Cleantech, AI, ML
Job Location
Zurich, Switzerland
Working Hours
42 hours per week
Date posted
August 23, 2022
Valid through
Oktober 31, 2022
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