Data Scientist

Role: ML Eng./Data Science Python Developer

Mode: Permanent (FTE)

Location: Sant Cugat, near Barcelona – Hybrid work – 2 days in a week at office.

Job Description

In this role, you will:

1. Improve our internal Python library used for model deployments by adding new features, cleaning up code, optimizing performance, and expanding unit testing.
2. Develop our Optimization Library from a proof of concept to a fully standardized tool for deploying optimization.
3. Standardize and streamline the data pipelines used for our forecast models.

Responsibilities:

• 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

Required Skills:

•    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, NumPy, 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

Preferred Skills:

• 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