ML Eng. / Data Science

Snaphunt; Sant Cugat del Vallès; Presencial; EUR 50.000 - 90.000; Jornada completa

Descripción de la vacante

An established industry player in telecommunications is seeking a skilled ML Engineer/Data Science Python Developer. This dynamic role involves enhancing internal Python libraries, developing optimization tools, and streamlining data pipelines for forecasting models. You'll be part of a collaborative team, ensuring high-quality code and best practices in software development. If you are passionate about leveraging technology to optimize processes and have a strong background in Python and data science, this opportunity offers a breadth of learning and growth in a supportive environment.

Servicios

Learning opportunities

Flexible working hours

Health insurance

Remote work options

Formación

• 8+ years of experience in a related role with strong Python skills.
• Bachelor's or Master's degree in Computer Science or Data Science.

Responsabilidades

• Refactor and optimize Python code while ensuring functionality.
• Develop and standardize data pipelines for forecast models.

Conocimientos

Python programming

Data structures

Algorithms

Scikit-learn

PySpark

NumPy

Pandas

Unit testing (pytest)

GitHub collaboration

Communication skills

Educación

Bachelor's degree in Computer Science

Master's degree in Data Science

Herramientas

Databricks

Python libraries

Descripción del empleo

The Offer

• Work in a company with a solid track record of performance
• Join a well-known brand within Telecommunications
• A role that offers a breadth of learning opportunities

The Job

Job Title : ML Eng. / Data Science Python Developer

Location : Sant Cugat, Barcelona, Spain

Job Type : Full Time / Permanent

Work Mode : Hybrid work – 2 days a week at the 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 :

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

The Profile

Required Skills :

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

Preferred Skills :

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

The Employer

Our client is a global information technology, consulting and outsourcing company and services provider. Our client IT solutions empower organizations and individuals throughout the world to maximize value and quality to succeed in today's challenging business environment.