Innovative Data Insights Specialist

Our organization is a leading provider of news and business information. We deliver content to consumers and organizations worldwide across various formats, including print, digital, mobile, and live events.

We have an unrivaled quality content production history spanning over 130 years and are home to prominent publications and products, such as the Wall Street Journal, Barron's, MarketWatch, and more.

We're seeking a skilled Data Scientist to join our AI Engineering Team. You will design, construct, and maintain machine learning pipelines tailored for various AI applications, particularly focusing on Natural Language Processing.

You'll collaborate with our engineering team, integrating machine learning models, optimizing performance, and ensuring effective real-world application of machine learning solutions.

• Design and implement robust data pipelines supporting various ML models, focusing on information retrieval applications.
• Analyze and clean large datasets to optimize reusable ML models.
• Partner with stakeholders across the company to translate business requirements into technical solutions.
• Utilize analytical skills for NLP modeling, algorithm selection, and POC development.
• Develop data enrichment pipelines to enhance insights aligned with strategic objectives.
• Collaborate with cross-functional teams to address the organization's data-driven needs, managing significant volumes of structured and unstructured data.
• Integrate diverse ML models into systems, ensuring interoperability and performance optimization.
• Lead efforts to optimize ML model performance through data analysis and validation in real-world applications.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field.
• At least 3 years of industrial experience in a data science or machine learning engineering role.
• Strong programming skills in Python and/or another high-level language commonly used in machine learning.
• Experience with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn).
• Demonstrated understanding of various techniques for extracting structured data from unstructured sources, indicating expertise in information retrieval.
• Familiarity with LLMs APIs for pre-processing, fine-tuning, and deploying models on cloud-based infrastructure.
• Familiarity with cloud-based infrastructure and services (e.g., AWS, GCP).
• Experience with version control systems such as Git.

• Comprehensive Healthcare Plans for you and your family.
• Extra paid Time Off (30 days of holidays/year).
• Possibility to work remotely for 3 months/year.
• One week of remote work per quarter.
• Meal benefit with Pluxee.
• Retirement Plans.
• Comprehensive Insurance Plans.
• Well-being Resources.
• Education Benefits.
• Family Care Benefits & Caregiving Support.
• Subscription Discounts.
• Employee Referral Program.