ML Eng​/Data Science Python Developer

Job Title:

ML Eng./Data Science Python Developer

Location:

Sant Cugat, Barcelona, Spain Job Type :
Full Time/Permanent Work Mode:
Hybrid work – 2 days in a week

Description:

In this role, you will:

• Develop a detailed plan for refactoring/optimizing the code in Python while ensuring its functionality and performance are maintained
• Write well-structured, efficient, and maintainable Python code, following best practices and company coding standards
• Thoroughly test the new Python code, identify and resolve any bugs or issues, and ensure the results are consistent with the original implementation
• Create clear documentation for the migrated Python code including comments, user guides, and technical specifications
• Standardize and streamline the data pipelines used for our forecast models in PAT while defining and recommending the team best practices.
• Communicate progress and challenges effectively with the project team and stakeholders

• A bachelor’s or master’s degree in computer science, Data Science, or a related field
• At least 8 years of experience in a related role
• Knowledge of algorithms, data structures, and best practices in software development
• Strong programming skills in Python and experience with production grade python code
• Deep knowledge of Python libraries such as Scikit-learn, PySpark, Num Py, Pandas
• Familiarity with Python’s unit testing framework (currently using pytest)
• Experience collaborating and using Github
• Excellent communication and teamwork skills, with a strong attention to detail
• Prior experience working with Databricks

• Prior experience with operationalization of ML models
• Prior experience with ML models and collaborating with DS teams.
• Familiarity with R programming language. This role might require to migrate some R code to Python/PySpark.
• Experience with production grade pipelines and ideally with Databricks Delta Live tables or any other declarative pipelines
• Knowledge of pricing algorithms and demand forecasting models.