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We are Tibber, the energy company that wants you to use less energy. Whaaat? That’s right. We’ll get back to that. Yes, we are by definition an energy company, but we’re more techy than most. How and why you might ask. Well, a third of our employees are actually working on developing products and solutions that can help you use energy in a smarter way. Our main goal is to empower people, and to reduce the amount of energy being used unnecessarily all around the globe – with the help of cool fancy tech. Good for our customers, their wallets, and the planet.
Our growth rate has been truly amazing, and still, we’re just getting started. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique portfolios trading energy on the market.
We’re now looking for a Data Scientist to our home energy management team! Could you be the next adventurer to join us?
What the role entails
You'll be a part of our skilled home energy management team, handling immense volumes of fascinating data and working with the latest cloud technology.
In this role you will have a focus on home energy management, modelling devices, controlling power flows to optimise our customer’s constraints and save them money. For this, you will work closely with other data scientists and back end developers.
Initially, you will develop heating models being able to forecast heating behavior for different homes and devices. In this way we can plan heating demand. The outcomes of the heating models will be integrated to our holistic optimisation, so we can plan energy flows in the best way.
Exciting, right? In their daily work, the team primarily uses Python as a language together with tools and packages including Airflow, Databricks, SQL, Scipy, Scikit-learn and Pandas. Meanwhile, the Tibber platform is run by employing a microservices architecture on Amazon Web Services.
In order for you to thrive with us in your new role, you:
Have 3+ years professional experience in a similar role.
Are curious with data, and feel confident to independently work with large data sets, both structured and unstructured data.
Can develop predictive models and machine-learning algorithms in Python. In addition you can develop integration tests of your code.
Have a keen interest in optimization algorithms. Experience of thermal models and/or control systems is a plus.
have clear and effective communication skills and enjoy working with other people, both remotely and in other locations.
What we offer:
A startup journey of a lifetime.
A flexible working arrangement including working from home or other international offices.
A chance to being part of disrupting an industry.
A place where you'll meet friends for life.
A story to tell your grandkids.
The Tibber Mindset
Being on a mission to fundamentally change an industry also means being prepared for the unexpected. Tibber is a startup in the true sense of the word, which means we're on a journey of constant change ourselves. We work passionately with sustainability and a circular approach, both with our own products and in the entire ecosystem that is affected by everything we do. The well-known fact that all people are different, and far from everyone is a morning person – are the very reasons why we choose to work with flexible work hours.
Starting out with two passionate founders in 2016, we're now 250+ people working for Tibber in our offices in Stockholm, Førde, Berlin, Amsterdam and Helsinki, and with that number growing each week, we’re only just getting started. Through 2022 we will expand to new markets, and we are thrilled to be backed by investors like Balderton Capital, Eight Roads Ventures, Founders Fund, and Schibsted.
Tibber is a different company in a very traditional industry. We are aiming to create the best digital tool so that you as a user can apply new technologies to reduce energy consumption and power costs.
Data Scientist - Home Energy Management
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