ML Eng./Data Science Python Developer

• 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, 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.