Data Scientist

Role overview

Join the Content Engineering team as a Senior Data Scientist. You will design, develop, and deploy machine learning and generative AI solutions to improve content workflows.

Responsibilities

• Collaborate with cross-functional teams to design, develop, and deploy ML and generative AI solutions.
• Contribute to generative AI initiatives, including:
  • Prompt engineering
  • Prompt validation
  • Optimizing agentic workflow pipelines
• Write clean, efficient, maintainable code, primarily in Python, following software development best practices.
• Stay current with emerging AI/ML trends.
• Participate in design reviews and best-practice development.
• Mentor junior engineers.

Requirements

• Strong engineering mindset plus solid data science and emerging AI expertise.
• Hands-on experience with database frameworks (e.g., MySQL, PostgreSQL).
• Knowledge of prompt engineering and generative AI concepts.
• Hands-on ML experience with frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Awareness of CI/CD and testing frameworks, plus collaborative development practices.
• 5+ years of experience in data science or related roles.
• Strong Python programming skills and familiarity with software engineering principles.
• Exposure to LLMs and agentic AI systems.
• Experience with data-driven automation and content workflows.

Nice to have

• AWS basics (e.g., S3 buckets).
• Experience with ML tracking tools such as MLflow, Weights & Biases (W&B), or Neptune.ai.
• Familiarity with Databricks.