Data Scientist
Data Scientist - Move Solutions
Move Solutions is an innovative IoT company that develops hardware and cloud software to analyze structural behavior in order to anticipate possible damages and failures.
We are a fast-growing company made of a strong and passionate team.
We are looking for talented people that could help us improve our vision and are willing to make a great impact in the IoT market.
Our offices are in Milan and in Lucca, Italy.
Our infrastructure consists in a different microservices that elaborates and handles 100 thousands of sensors all over the world.
Our servers elaborate information with our innovative algorithms to predict structural behavior.
**Main responsibilities**:
- You will develop AI and ML algorithms
- You will help direct the development of our technologies aimed at the acquisition, storage, and manipulation of big data, supporting our efforts to constantly break new ground in this field.
You will contribute to the design and the implementation of our data pipelines
- You will study scientific literature and available tools, stay up to date on new technologies, and identify relevant innovations
**Profile**:
- Positive attitude
- Team-work approach
- Being proactive in developing solutions
- Willingness to improve your skills and to work towards your professional growth
- Interest in algorithms and data elaboration
**Must have skills**:
- Strong passion for math and statistics, as well as solid fundamentals in both fields
- You like to think outside of the box and challenge previous assumptions to find the best solutions however counterintuitive they may be
- You can run queries, and code in Python or some other high-level language
**Nice to have skills**:
- Knowledge of Javascript or C++
- Knowledge of Python and different Python frameworks
**Working hours**: Full time from Monday to Friday
Location**:Milan or Lucca (Hybrid)
Contratto di lavoro: Tempo pieno
Disponibilità:
- Orario flessibile
Retribuzione supplementare:
- Quattordicesima
- Straordinario
- Tredicesima
Istruzione:
- Laurea triennale (Obbligatorio)
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