<p>Our mission at <strong>Qwello</strong> 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! <span style="font-size:16px;">⚡</span></p><div><p>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 <strong>Data Scientist</strong> 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.</p><p>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.</p></div><br><br><h3>Your Responsibilities 🚀 </h3><ul><li>Requirements engineering / ideation as part of the team, but also on your own</li><li>Design, implement and maintain both models (ML &amp; Statistical) and analytics pipelines tailored to the needs of both technical and business oriented stakeholders</li><li>Own the solution of open-ended ambiguous problems by singling out and execute the best viable approaches </li><li>Design experiments to test new features, pricing schemas, discover new business opportunities</li><li>Design, implement and test prototypes of data-driven products </li><li>Communicate relevant KPIs and results to cross-functional teams</li><li>Proactively share knowledge and experience with the team</li></ul><h3>Your Profile ✨</h3><ul><li>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.</li><li>Proven experience designing and developing ML models</li><li>Experience designing and developing statistical models and frameworks with proven impact</li><li>Expert level statistical modeling skills, including time-series modelling and forcasting</li><li>Solid experience with Python and the typical data libraries and tools.</li><li>A make-it-happen attitude, helping the team to deliver on changing the world from combustion to electric</li><li>Ability to self-organise in an environment of changing priorities; willingness to work on multiple tasks/content switching</li><li>Fluency in English, German language knowledge is a plus</li></ul><h3>Your Benefits 🪴</h3><ul><li>Flat hierarchies with an efficient decision-making processes without red tape</li><li>The opportunity to play a key role in shaping the mobility revolution.</li><li>Be part of an international and dynamic team of more than 30 nationalities. </li><li>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.</li><li>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.</li><li>Personal and professional development through in-house lunch &amp; learn sessions, collaborative coding challenge discussions, as well as externally provided training, courses and conferences.</li></ul><br><div><em><strong style="font-size:16px;">Equal Opportunities:</strong></em></div><div><em style="font-size:16px;">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. </em></div>

“Access to EV charging infrastructure will soon be the only barrier remaining, to unlock the potential of e-mobility”.  Cap Gemini Invent (2019).  For e-mobility to become a mass phenomenon - in particular in big cities in Europe, where up to 75% of car owners do not have access to a private charge point - we need to step up: Europe currently has less than 200,000 public charge points but will need 1,300,000 by 2025 and 3,000,000 by 2030. And using most of the ones there are today can be a real hassle, just as most first generation electric cars were. With the outstanding exception of Tesla: They uncompromisingly put the user first, and so do we. Wanna build the ‘Tesla’ of charging infrastructure with us? We - a Munich based start-up, founded in 2017 - are committed to turn the world from combustion to electric.  We design, build and operate charging infrastructure for the public space - and have huge ambitions here. 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 best products are build by excellent teams, not individual superstars.   Be part of shaping the E-mobility of the future!


Data Scientist

<p>Our mission at <strong>Qwello</strong> 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! <span>⚡</span></p><div><p>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 <strong>Data Scientist</strong> 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.</p><p>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.</p></div><br /><br /><h3>Your Responsibilities 🚀 </h3><ul><li>Requirements engineering / ideation as part of the team, but also on your own</li><li>Design, implement and maintain both models (ML &amp; Statistical) and analytics pipelines tailored to the needs of both technical and business oriented stakeholders</li><li>Own the solution of open-ended ambiguous problems by singling out and execute the best viable approaches </li><li>Design experiments to test new features, pricing schemas, discover new business opportunities</li><li>Design, implement and test prototypes of data-driven products </li><li>Communicate relevant KPIs and results to cross-functional teams</li><li>Proactively share knowledge and experience with the team</li></ul><h3>Your Profile ✨</h3><ul><li>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.</li><li>Proven experience designing and developing ML models</li><li>Experience designing and developing statistical models and frameworks with proven impact</li><li>Expert level statistical modeling skills, including time-series modelling and forcasting</li><li>Solid experience with Python and the typical data libraries and tools.</li><li>A make-it-happen attitude, helping the team to deliver on changing the world from combustion to electric</li><li>Ability to self-organise in an environment of changing priorities; willingness to work on multiple tasks/content switching</li><li>Fluency in English, German language knowledge is a plus</li></ul><h3>Your Benefits 🪴</h3><ul><li>Flat hierarchies with an efficient decision-making processes without red tape</li><li>The opportunity to play a key role in shaping the mobility revolution.</li><li>Be part of an international and dynamic team of more than 30 nationalities. </li><li>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.</li><li>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.</li><li>Personal and professional development through in-house lunch &amp; learn sessions, collaborative coding challenge discussions, as well as externally provided training, courses and conferences.</li></ul><br /><div><em><strong>Equal Opportunities:</strong></em></div><div><em>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. </em></div>

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Qwello

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