Senior Data Scientist

Key Responsibilities:

• Strategic Problem Solving: Identify and define critical business problems that can be addressed through advanced machine learning and NLP techniques. Translate complex requirements into actionable data science projects.
• Advanced Model Development: Design, develop, and deploy sophisticated NLP models, including LLMs and retrieval systems, for applications such as answer generation and conversational AI. Utilize RAG methodologies to enhance model performance and accuracy.
• Algorithmic Expertise: Apply your deep understanding of machine learning algorithms, statistical methods, and mathematical principles to create innovative solutions that address real-world problems and drive user engagement.
• Collaboration and Leadership: Partner with product managers, engineers, and business stakeholders to understand requirements, define success metrics, and ensure alignment with business objectives. Lead cross-functional teams to deliver end-to-end solutions.
• System Architecture and Scalability: Oversee the integration of machine learning models into production systems. Collaborate with engineering teams to build scalable, high-performance data pipelines and ensure robust deployment of models in live environments.
• Research and Innovation: Stay at the forefront of research in NLP, AI, and related fields. Contribute to the advancement of the company's technology stack and explore new methodologies to maintain a competitive edge in the industry.

Qualifications

• Experience: Minimum of 3 years of experience in data science, with a strong focus on NLP, machine learning, and AI technologies. Proven track record of developing and deploying NLP models and working with large-scale data systems.
• Technical Skills: Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), NLP libraries (e.g., spaCy, Hugging Face Transformers), and experience with retrieval-augmented generation (RAG) techniques. Proficiency in programming languages such as Python and familiarity with big data technologies (e.g., Hadoop, Spark) is required.
• Education: Master's or Bachelor's in Computer Science, Data Science, Statistics, or a related field.
• Problem Solving:  Strong problem-solving skills..
• Communication: Excellent verbal and written communication skills. Ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively across teams.