Data Scientist

4w4 weeks ago

Qwello

Munich, DE · Full-time · €65,000 – €85,000

About this role

At Qwello, our mission is to revolutionize the charging industry and turn the world from combustion to electric. As a Data Scientist on our growing DATA team, you will create models that allow us to predict behavior and desired values, directly supporting strategic business and technical decisions.

You will work with engineering teams and business units to understand requirements for predictive models, then design, build, train, and evaluate those models end to end. You own your work from ideation through field performance evaluation, continuously improving based on real-world feedback.

You will be a key player in fostering profitability and innovation across the company, enabling the next steps in charging the ever-growing number of EVs more efficiently without adding to grid overload. You collaborate with an international team of more than 30 nationalities in a culture that values diversity of thought and engineering excellence.

By building innovative models and pipelines, you actively help transform the world to be more sustainable and less polluted. This role offers the opportunity to shape the mobility revolution and make a tangible impact on the environment.

Requirements

Proven experience designing and developing ML models
Experience designing and developing statistical models and frameworks with proven impact
Expert-level statistical modeling skills, including time-series modeling and forecasting
Solid experience with Python and typical data libraries and tools
Great communication skills — able to present complicated solutions to non-technical audiences in a simple and logical way
A make-it-happen attitude, helping the team deliver on changing the world from combustion to electric
Ability to self-organize in an environment of changing priorities and willingness to work on multiple tasks with content switching
Fluency in English; German language knowledge is a plus

Responsibilities

Design, implement, and maintain both ML and statistical models and analytics pipelines tailored to technical and business stakeholders
Own the solution of open-ended ambiguous problems by singling out and executing the best viable approaches
Design experiments to test new features, pricing schemas, and discover new business opportunities
Design, implement, and test prototypes of data-driven products
Communicate relevant KPIs and results to cross-functional teams
Proactively share knowledge and experience with the team
Perform requirements engineering and ideation as part of the team and independently

Benefits

Flat hierarchies with efficient decision-making processes without red tape
The opportunity to play a key role in shaping the mobility revolution
Be part of an international and dynamic team of more than 30 nationalities
Remote-friendly environment with flexible options — work from home, in one of our offices, or a mix; plus workation within the EU and 30 vacation days
Regular company and team events outside the office to disconnect and reconnect with colleagues