Data Scientist

2 settimane fa

Milano, Lombardia, Italia EssilorLuxottica A tempo pieno

WHO WE ARE

We are EssilorLuxottica, a leading innovator in ophthalmic technologies and eyewear. Our mission is to empower people to see more and be more through our cutting-edge designs and lens technologies.

JOB SCOPE AND MAIN RESPONSIBILITIES:

We are seeking a talented Data Scientist with expertise in machine learning to join our team. As a key member of our data science team, you will be responsible for developing, deploying, and maintaining machine learning models that drive business growth and innovation.

AREAS OF RESPONSIBILITIES AND RELATED ACTIVITIES:
  • Develop and implement machine learning models for various business use cases, focusing on their successful deployment and integration into production systems.
  • Collaborate with data engineers and software engineers to design and implement scalable data pipelines, ensuring the smooth flow of data from ingestion to model training and inference.
  • Conduct exploratory data analysis to identify patterns, trends, and potential insights that can be leveraged for ML model development and improvement.
  • Fine-tune and optimize ML models for performance, scalability, and accuracy, considering factors such as feature engineering, model selection, hyperparameter tuning, and ensemble methods.
  • Deploy ML models into production environments, working closely with DevOps teams to ensure reliability, scalability, and monitoring of model performance.
  • Conduct rigorous testing and validation of ML models, ensuring their robustness and stability in real-world scenarios.
  • Monitor and analyze model performance, identifying areas for improvement and proactively making adjustments as needed.

NETWORK OF INTERACTION:

INTERNAL: Business Units

EXTERNAL: Microsoft, Google, Amazon, and other leading technology companies

TECHNICAL SKILLS - PORTRAIT OF A PERFECT CANDIDATE:
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience as a data scientist, with a focus on machine learning in a production environment.
  • Strong programming skills in languages such as Python or R, with experience using ML libraries and frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Solid understanding of statistical modeling, data mining, and machine learning techniques, including regression, classification, clustering, and deep learning.
  • Experience with deploying ML models in production, using frameworks like TensorFlow Serving, Kubernetes, or Docker.
  • Proficiency in working with large datasets and data preprocessing techniques.
  • Strong problem-solving skills, with the ability to translate business objectives into ML solutions.
  • Excellent communication skills, with the ability to effectively convey complex concepts to technical and non-technical stakeholders.
  • Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Hadoop, Spark) is a plus.
  • Experience with version control systems (e.g., Git) and agile development methodologies is advantageous.

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