Data Scientist / MLOps Engineer (Automotive Sector)
Comunidad de Madrid
Municipality of Madrid, Spain
5 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
€ 50KJob location
Municipality of Madrid, Spain
Tech stack
Data analysis
Azure
Big Data
Cloud Computing
Databases
Continuous Integration
Python
Machine Learning
SQL Databases
Enterprise Data Management
Scripting (Bash/Python/Go/Ruby)
Generative AI
Machine Learning Operations
GPT
Job description
The Data Scientist / MLOPs Engineer will be responsible for the support the Strategy & Transformation`s Department in analyse, understand and draw conclusions of the data obtained by our Corporate and Business Units. Identifying methods for analysis, develops and performs data analysis., * Analyze, understand and draw conclusions from the corporate Data Lake and external databases
- Understand and prepare the data to carry out the models involved in our solutions.
- Design / Develop / Manage and Monitor of applications based on advanced analytics and Machine Learning using the BigData ecosystem, actively participating in the design and analysis of algorithms to solve specific company problems.
- Algorithm automation, CI/CD of developed algorithms in production environment.
- e, measurement and graphical visualization of performance to enable validations of strategies.
- Evaluate software frameworks, libraries and tools (including prototyping).
Requirements
- At least 3 years of professional experience as a Data Scientist. Working with SQL and scripting languages such as R, Python and Scala
- In-depth understanding of machine learning models, their mathematical foundations and practical experience with their development.
- Strong knowledge of cloud technologies, especially Microsoft Azure Cloud
- Desirable experience in Generative AI and CHATGPT prompts ideation and implementation
- Ability to build ML models.
- English: Advanced.
- Good understanding of Commercial processes, especially in digital and/or in the automotive sector and experience with analytics in this area will be desirable.
- Analytical thinking and ability to independently steer complex products.
- Excellent team-player and problem-solving skills