Who We are
please refer to our website (www.renewcast.com)
Who we are looking for
A graduate with a least 4yrs+ of experience, or not graduate with 6yrs+ of experience, with a passion for Machine Learning, Data Science and Data architecture. Creativity in approaching complex forecasting problems and transforming into practical solutions. Result oriented attitude, love for Research & Development work but with a strong bias to turn it into break-thorough solutions, strong attitude of problem solving and self learning.
Why work with us
- To have the opportunity to be part of a fast growing company with established and important clients and with the potential to scale-up fast at global level in less than two years.
- To became part of and learn from an highly experience and professional team with global and consolidated experience in the energy sector, AI, Machine Learning and High Performing Big Data structure
- To contribute actively and proactively to our R&D projects focused on improving our Saas AI/ML platform and predictive algorithms
- To grow with the company and participate to the value we will create together
Main Responsibilities
- Lead and be proactively responsible of the development and testing of ML based forecasting algorithms
- Coordinate/deliver and be responsible of daily operational delivery activities on Clients wind farm portfolio
- Coordinate/deliver and be responsible of data analysis, pre-processing, processing and develop new or improve existing automatic procedures for the Saas Platform
Main Skill requirements
- Degree in mathematics, physics or computer engineering, at least 4yrs+ work experience, or 6yrs+ if without degree
- Relevant and demonstrated hands-on knowledge of the design, development, experimentation, and testing of analytic tools, AI libraries and scripting languages (Python is a requirement)
- Git and development/collaboration tools knowledge
- Capable to handle big data analysis
- Consolidated of SQL
- Consolidated knowledge of serverless systems
- Consolidated experience in data analysis
- Full proficiency and knowledge of main Machine Learning algorithms and model like Neural Networks, Classification and Regression Trees and Random Forest.
- Autonomous into translating theoretical forecasting models into code, using mainly Python and at least another script language
- Consolidated and operational-ready knowledge on how to run simulation and forecasting algorithms, how to test my algorithms with back-tests and stress
- Good knowledge of frameworks for web development
What we offer
- Full time & long term employment contract
- Company value creation sharing (through bonus scheme)
- PC, mobile phone
- Ticket restaurant for working days or equivalent benefit
- Smart working/office mix scheme
- Expenses reimbursement for work transfer out of office city, if resident outside Rome
- Expenses reimbursement to transfer to office city (Rome), if in smart working mode and living outside the city for the first year of contract