Data scientist / machine learning engineer
Wattstor GroupYour mission
Wattstor is an innovator in the Electrical Power Engineering sector focused on automated energy management and battery energy storage systems. This fast-growing, PE-backed company has developed its own Energy Management System “Podium”, a combination of state-of-the-art hardware technology and intelligent automation software that increases energy cost savings on-site deployment of DER technologies. Helping industrial and commercial customers to maximise value from their energy transition to Net Zero by intelligent management of Photovoltaic Power Plant, Battery Storage Systems, Electrical Vehicles and variations of Load which include flexibility for Energy Trading.
Your profile
Wattstor is seeking a skilled Machine Learning engineer with software development capabilities to join our team working on Energy Management System (EMS). In this role, you will contribute to maintenance and enhancement of our prediction models for site electricity consumption and photovoltaic or wind turbine generation. You'll be instrumental in setting up Machine Learning Operations (MLOps). Your responsibilities will include managing existing models, refining them, and participate on development of new ones. This entails data analysis, data processing, pattern identification, model development, and predictive analytics. Before implementing any model into production, you will also be responsible for evaluating its Proof of Concept (PoC).
Key Responsibilities:
- Develop, train, and optimise machine learning models
- Data preprocessing and feature engineering
- Vendor management, including task assignment and monitoring
- Time management and project management
- Create and present reports for management and clients
- Collaborate with data analysts, software engineers, and business teams
Required Skills and Qualifications:
- Master's degree in a field related to data science, statistics, computer science, or a similar field
- Experience with programming languages such as Python and RestAPI (ideally FastAPI)
- Familiarity with machine learning tools like scikit-learn, PyTorch, etc.
- Experience with MLops
- Experience with database systems (SQL, NoSQL) and time series data (Influx, AWS Timestream)
- Excellent communication skills
- Experience with data visualisation tools, such as Grafana
- Experience with cloud solutions focusing on data science and machine learning
- Experience with vendor management and outsourcing (Advantage)
- Experience with energy sector (Advantage)
- Czech and English language
Why us?
- Motivating salary package.
- Quarterly bonuses & Sales Commissions
- Exciting Industry Sector which is full of innovations - Energy Transition to Zero emissions
- Professional growth, educational support and team growth opportunities
- 25 days of vacation and 5 sick days.
- Human-centric approach and team support.
- Opportunity for international training.
- Flexible, hybrid working hours (offices in Brno, Brumov-Bylnice, and home office).
- Meal and phone allowance.
- Company events (Czech and Great Britain colleagues)
About us
Our mission is to deliver fully financed onsite energy systems at a lower rate than grid electricity. We want to provide everything organisations need to generate, store and manage renewable electricity onsite, making net zero a reality.
With the best EMS on the market, cost-efficient solar and BESS systems, and the ability to design and deliver bespoke renewable projects, we can pave the way for your path to net zero – removing all obstacles en route and supporting you at every stage of the process.Our mission is to deliver fully financed onsite energy systems at a lower rate than grid electricity. We want to provide everything organisations need to generate, store and manage renewable electricity onsite, making net zero a reality.
With the best EMS on the market, cost-efficient solar and BESS systems, and the ability to design and deliver bespoke renewable projects, we can pave the way for your path to net zero – removing all obstacles en route and supporting you at every stage of the process.