Data Scientist - Munich, Deutschland - Orbem GmbH
Beschreibung
Orbem is an impact-driven deep tech startup from Munich, Germany. We develop fast, accurate, and accessible imaging solutions that provide access to otherwise unattainable sources of knowledge.
We seek to make a difference - and develop solutions to sustainably feed the world, accelerate the transition to a green economy, and transform disease detection.
Join us.
Data Scientist:
Starting date:
as soon as possible
Our compensation package:
€72,500, composed of €60,000 - €65,000 in yearly salary, €2,500 - €7,500 in equity, and up to €5,000 p.a. in company benefits.
Office location:
Munich, Germany
Your role:
You build the mind of our AI-based MRI solution. You implement state-of-the-art machine learning methods to analyze MRI data in a fast and accurate fashion. You generate insights from the data to guide our product development and work closely with MRI scientists and ML engineers to produce a reliable prediction for every data point. By leveraging your love for data and excellent problem-solving skills, you give intelligence to our MRI machines.
Your day to day:
On a typical day you will:
- develop machine learning strategies to solve novel challenges in MRI image analysis
- train machine learning models, tune and analyze their performance
- monitor model performance in production and come up with solutions to elevate performance
Your team:
What we offer:
International environment: 5 different continents, 25+ nationalities driven by the same purpose: shedding light on the world's toughest challenges
Gender-inclusive:Our workforce is 51% female At Orbem, we promote an environment where all individuals are free to express themselves
Attractive package:
You participate in Orbem's success with stock options, which you receive on top of your salary.
We also offer visa and relocation support and several benefits such as:
yearly Learning & Development budget (€1,750), Fitness club membership (USC, Wellpass), Kita/Kindergarten fee reimbursement and more
Work-life balance:We commit to creating an environment where our employees can find the balance they need. Besides flexible working hours, home office, 30 days per year of paid leave and sick child leave, you will also be able to work from abroad (for up to 60 days every year) while experiencing new cultures and environments
Make a difference:
You'll work in a scale-up environment with the freedom to drive your own projects and make a visible impact
You join an ambitious team working on breakthrough technology: We offer you a plain playing field to explore and design. During your time with Orbem, we support you in discovering your strengths and defining a vision for your professional future. We hope to teach you some things, but more importantly we also want to learn from you. Join us
Your experiences and skills:
Fit our values
- We
own every challenge:we enjoy complexity and thrive under uncertainty - We
strive for better:we seize any opportunity for growth and challenge the status quo. We are constantly learning and improving - We
imagine new frontiers:we think beyond 'doable' and 'reasonable'. We design a sustainable and healthy future together
Data Fluency
- You have a strong statistical and data analysis foundation, and have a good knowledge of the data analysis toolkit (e.g. numpy, pandas, OpenCV, scipy, scikitlearn, etc.)
- You care about data visualization and create userfriendly illustrations to explain phenomena in the data
- You understand the importance of data quality, and invest time in verifying or cleaning data and annotations
Modeling
- You are very familiar with Python and have experience with Git for code versioning
- You know your way around Pytorch and trained machine learning models extensively, using experiment tracking software (e.g. MlFlow, tensorboard)
- You know how to approach model selection, choose the best checkpoint and validate model performance on a test set
Modeling & data fluency
- You applied ML to 3D data and you understand its complexities
- You know how to work with MRI data (including raw data) and its formats
- You deployed ML models in production and are familiar with tools for model performance monitoring
Innovator with a scientific mind
- You are not intimidated by new, unexplored problems, and quickly come up with strategies to solve them in a logical, methodical way
- You enjoy working in an interdisciplinary environment and actively seek input from various stakeholders to reduce uncertainty and inform decision making
- You question the status quo and make decisions in a datadriven manner
- You document and communicate your results in a clear and concise manner, to ensure reproducibility, highlight impact and encourage a broader discussion of your findings
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