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
€ 50K

Job 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

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