[CDI] Data Scientist

Company Description

Publicis Re:Sources is the backbone of Publicis Groupe, the world’s most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients.

Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 5,000+ employees in over 66 countries. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management.

We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support at http://www.publicisresources.com/.

Job Description

We are seeking a highly skilled Data Scientist with strong expertise in deep learning and proven experience in deploying machine learning models into production. The ideal candidate will have 2-5 years of experience in building, training, and scaling machine learning solutions, along with hands-on experience in modern ML tools and frameworks.

Key Responsibilities:

• Develop, optimize, and deploy deep learning models using TensorFlow and/or PyTorch.
• Design, implement, and evaluate machine learning models for various business applications.
• Collaborate with cross-functional teams to integrate machine learning solutions into production systems.
• Work with large datasets, and develop custom data pipelines using SQL and Python.
• Utilize multiprocessing and multithreading techniques for optimizing model training and performance.
• Leverage Azure cloud services to build scalable machine learning architectures.
• Manage and monitor ML experiments and model lifecycle using MLFlow.
• Perform data extraction, transformation, and loading (ETL) for analysis and model development.

Qualifications

Required Skills & Experience:

• 2-5 years of experience in data science or machine learning roles.
• Strong understanding of Machine Learning and Deep Learning models for classification, prediction and time series forecasting.
• Strong expertise in deep learning frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL for managing and querying large datasets.
• Strong understanding of multiprocessing and multithreading in Python.
• Experience with cloud computing platforms, specifically Microsoft Azure.
• Hands-on experience in deploying machine learning models in production environments.
• Expertise in MLFlow for tracking experiments and managing machine learning pipelines.

Nice to Have:

• Familiarity with Azure Machine Learning (AML) or Databricks.
• Experience with Kubernetes or Docker for model deployment.
• Knowledge of data visualization tools like Power BI or Tableau.

Additional Information

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge machine learning problems.
• A collaborative work environment with opportunities for career growth.

If you are a passionate data scientist looking to grow your skills and make an impact with innovative AI solutions, we'd love to hear from you!