Data Scientist
Qwello
full-time
Posted on:
Location Type: Hybrid
Location: Munich • Germany
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About the role
- Requirements engineering / ideation as part of the team, but also on your own
- Design, implement and maintain both models (ML & Statistical) and analytics pipelines tailored to the needs of both technical and business oriented stakeholders
- Own the solution of open-ended ambiguous problems by singling out and execute the best viable approaches
- Design experiments to test new features, pricing schemas, 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
Requirements
- 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.
- 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 modelling and forcasting
- Solid experience with Python and the typical data libraries and tools.
- A make-it-happen attitude, helping the team to deliver on changing the world from combustion to electric
- Ability to self-organise in an environment of changing priorities; willingness to work on multiple tasks/content switching
- Fluency in English, German language knowledge is a plus
Benefits
- Flat hierarchies with an 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 25 nationalities.
- 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.
- 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.
- Personal and professional development through in-house lunch & learn sessions, collaborative coding challenge discussions, as well as externally provided training, courses and conferences.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
requirements engineeringmachine learning modelsstatistical modelsstatistical modelingtime-series modelingforecastingdata-driven product designanalytics pipelinesprototypingKPI communication
Soft Skills
great communication skillspresenting complex solutionsself-organizationadaptabilityteam collaborationknowledge sharingproblem-solvingproactive attitudemulti-taskingcontent switching