EMEA Data Scientist - Milan

Boston Scientific Gruppe; Milano; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A global medical technology company in Milan is seeking an experienced Data Scientist to work on both MLOps and data science responsibilities. You will build data pipelines, develop machine learning models, and ensure data quality. The role requires strong programming skills in Python and familiarity with SQL databases. Join us for a compelling career opportunity focused on innovation and a supportive coaching culture.

Servizi

Opportunity to work on end-to-end data projects

Mentorship from senior data scientists

Collaborative, learning-focused environment

Competenze

• 4-5 years of professional experience in data science, data engineering, or MLOps.
• Experience with ML lifecycle tools.
• Familiarity with cloud platforms and containerization.

Mansioni

• Build and maintain data pipelines for structured and unstructured data.
• Train, evaluate, and fine-tune machine learning models.
• Support deployment of ML models into production.

Conoscenze

Python programming

SQL database management

Machine Learning

MLOps practices

Data Analysis

Cloud platforms (AWS, GCP, Azure)

Problem-solving skills

Formazione

Bachelor’s or Master’s in Computer Science, Data Science, Engineering

Strumenti

SQL

Docker

Kubernetes

MLflow

Tableau

Descrizione del lavoro

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

Day in the Life of the EMEA Data Scientist:

You will spend most of your time (60%) focused on MLOps and model deployment, and (40%) on data science and model development. You will work across the entire ML lifecycle—from building and maintaining pipelines to deploying and monitoring models, exploring data, and developing machine learning solutions. As a well-rounded ML practitioner, you will balance engineering and data science. As you collaborate with your peers, you will learn and continually improve your work.

You will work with businesses to understand their data needs and translate those into data structures and model requirements. You will define standards for monitoring data model integrity during projects and lead data modeling and testing. Additionally, you conduct quality assurance on analytics tools and methods used. You will apply expertise in machine learning, data mining, and information retrieval to design, prototype, and develop next‑generation analytics. You will develop best practices for analytics, including models, standards, and tools. Furthermore, you will have metrics to assess the impact of analytics on the business.

The role:

This role, reporting directly to the EMEA AI Development & BI Manager, is a great opportunity for technical talents passionate about driving meaningful innovation for our business.

Key Responsibilities:

• Build and maintain data pipelines for structured and unstructured data.
• Work with SQL/NoSQL databases and data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Ensure data quality, integrity, and availability.
• Data Science:
• Explore, clean, and analyze datasets to derive insights.
• Train, evaluate, and fine‑tune machine learning models.
• Assist in developing proof‑of‑concepts and production‑ready ML solutions.
• MLOps:
• Support deployment of ML models into production (batch and real‑time).
• Implement model monitoring, retraining, and CI/CD workflows.
• Work with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).

What you will need:

• Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field.
• 4‑5 years of professional experience in data science, data engineering, or MLOps.
• Strong programming skills in Python (pandas, scikit‑learn, PySpark preferred).
• Experience with SQL and familiarity with database design.
• Exposure to cloud platforms (AWS, GCP, or Azure).
• Knowledge of ML lifecycle tools (MLflow, Kubeflow, Airflow, Prefect, etc.).
• Familiarity with Git, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Good problem‑solving skills and eagerness to learn new technologies.

Nice to Have:

• Hands‑on experience with deep learning frameworks (TensorFlow, PyTorch).
• Experience with data visualization tools (Tableau, Power BI, or Looker).
• Knowledge of distributed computing frameworks (Spark, Dask).
• Prior internship or project work in MLOps.

What do we offer:

• A compelling career opportunity to lead impactful, innovative initiatives within the EMEA region.
• Opportunity to work on end‑to‑end data projects.
• Mentorship from senior data scientists and engineers.
• A collaborative, learning‑focused environment.
• A coaching culture environment focusing on your success and development!

Requisition ID: 618340

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem‑solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Job Segment:

Cloud, Data Modeler, Database, SQL, Data Mining, Technology, Data