Senior / Principal Data Scientist

Requirements

• Advanced understanding of supervised, unsupervised, and reinforcement learning.
• Familiarity with deep learning frameworks.
• Current experience in GenAI, RAG, and advanced RAG techniques like RAGA, Query expansion, KGRAG, etc.
• Strong knowledge of statistical modeling, hypothesis testing, and data exploration techniques.
• Proficiency in Python, along with experience in MongoDB.
• Understanding of code optimization and clean coding practices is important.
• Solid foundation in probability, linear algebra, calculus, and statistical inference.
• Experience in deploying machine learning models in production environments and familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
• Experience in leading data science and ML teams, including mentoring junior scientists and fostering a collaborative environment.
• Ability to manage projects, define milestones, ensure timelines are met, and communicate progress to stakeholders.
• Collaborating with software engineers and product managers to ensure alignment between our solutions and business goals.
• Understanding the company's overall business strategy and being able to align data science initiatives to support these objectives.
• Ability to translate complex ML/GenAI concepts into actionable insights for non-technical stakeholders.
• Experience in creating clear, thorough documentation for products/projects and experiments.
• Keeping up with the latest research, tools, and trends in data science and machine learning, especially in the area of GenAI, RAG, etc.
• Identifying and addressing complex data and business challenges, often through novel AI/ML approaches or hybrid solutions.