Role overview
- Identify business problems and solve them by finding data and methods, resulting in measurable business improvements.
- Identify the most effective solution for a given problem that can range from mathematical/statistical to machine learning or deep learning models.
- Deploy and continuously monitor the solution to ensure business impact
- Exchange with other ML engineers, data-scientists, business stakeholders, HW and SW experts that will help you delivering valuable and robust solutions.
What we're looking for
- Completed degree in mathematics, computer science, physics, software.
- Knowledge in machine learning model development, evaluation and optimization.
- Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
- Experience with Python and relevant libraries (Pytorch, Tensorflow, Sklearn, Scipy, Numpy, Pandas, Matplotlib, Pyplot, Dask, QT, Streamlit, Holoviz, MLFlow and DVC)
- Experience with code versioning tools, like Git
- Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
- Knowledge with signal processing techniques (filtering, resampling, etc).
- Familiar with data structures, data modeling, and software architecture
- Interest in working in distributed teams using agile development methods.
- Strong team skills, very good communication skills, goal-oriented.
- Motivated and creative with high analytical skills, product-focused and customer-centric mindset.
- Analytical and problem-solving skills
- Very good language skills in English (written and spoken).
*Additional Information
Work #LikeABosch means:**
- ️ Flexible work conditions
Hybrid work system
Exchange with colleagues around the world
- ️ Health insurance and medical office on site
Training opportunities
Opportunities for career progression and continuous professional development
Access to great discounts in partnerships and Bosch products
️ Sports and health related activities
Great access to public transports
️ Free parking lot
️ Canteen
*Success stories don´t just happen. They are made...
Make it happen! We are looking forward to your application!
Tags & focus areas
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