About Qwello
Our mission at Qwello is to revolutionize the charging industry, we are committed to turn the world from combustion to electric. We design, build and operate charging infrastructure for the public space. We excel in simplicity, user focus and engineering excellence. We value diversity of thought, background and approaches and foster a culture of belonging. We understand that the best products are built by excellent teams, not individual superstars. Be part of shaping the E-mobility of the future! ⚡
The goal of the data team is to get the insights from our data to the right people and tools at the right time. As a Data Scientist for our growing DATA team you go one step further and create models that allow us to predict behavior and desired values. You are working with the other engineering teams but also with various business units to understand requirements for predictive models for advanced features in our area. You also build, train and evaluate these models with help of your colleagues in your team. You own your work end to end and therefore also evaluate the performance of your work in the field and then improve them based on this feedback.
You will be a key player in supporting strategic business and technical decisions and to foster profitability and innovation across the company. You are primarily responsible for innovative models and pipelines. But you are much more than the data person: You enable the next steps in charging the ever growing number of EVs in our cities more efficiently and without adding to grid overload. And by that you actively help to transform the world we live in to be more sustainable and less polluted.
Your Responsibilities 🚀
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Requirements engineering / ideation as part of the team, but also on your own
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Design, implement and maintain both models (ML & Statistical) and analytics pipelines tailored to the needs of both technical and business oriented stakeholders
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Own the solution of open-ended ambiguous problems by singling out and execute the best viable approaches
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Design experiments to test new features, pricing schemas, discover new business opportunities
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Design, implement and test prototypes of data-driven products
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Communicate relevant KPIs and results to cross-functional teams
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Proactively share knowledge and experience with the team
Your Profile ✨
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Great communication skills. You are able to present complicated solutions to non-technical audiences in a simple and logical way. Seriously, the non-techies have to understand you too.
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Proven experience designing and developing ML models
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Experience designing and developing statistical models and frameworks with proven impact
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Expert level statistical modeling skills, including time-series modelling and forcasting
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Solid experience with Python and the typical data libraries and tools.
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A make-it-happen attitude, helping the team to deliver on changing the world from combustion to electric
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Ability to self-organise in an environment of changing priorities; willingness to work on multiple tasks/content switching
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Fluency in English, German language knowledge is a plus
Your Benefits 🪴
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Flat hierarchies with an efficient decision-making processes without red tape
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The opportunity to play a key role in shaping the mobility revolution.
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Be part of an international and dynamic team of more than 25 nationalities.
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Enjoy a remote-friendly environment with flexible options, you choose whether to work entirely from home, in one of our offices or a mix that suits you and you have the possibility of workation within the EU, plus 30 vacation days.
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Regular company and team events outside of the office to disconnect from our computers and reconnect with colleagues on hikes, mountain e-bike tours, offsites and more.
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Personal and professional development through in-house lunch & learn sessions, collaborative coding challenge discussions, as well as externally provided training, courses and conferences.
Equal Opportunities:
We strive to eliminate discrimination, remove barriers and ensure equal opportunity through a transparent recruitment process. We are fully committed to fostering an inclusive and respectful work environment where everyone can succeed. At Qwello everyone is welcomed regardless of cultural background, creed, race, sexual orientation, colour or gender expression.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
