Senior Data Scientist – ML, Data Insights & Generative AI

Role Overview:

We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business value.

Key Responsibilities:

• Analyze structured and unstructured data to identify trends, patterns, and opportunities.
• Propose and validate AI/ML use cases based on business data and stakeholder needs.
• Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc.
• Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation).
• Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions.
• Ensure data quality, model interpretability, and ethical AI practices.
• Document experiments, share findings, and contribute to knowledge sharing within the team

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 3–4 years of hands-on experience in data science and machine learning.
• Proficient in Python and ML libraries
• Experience with data wrangling, feature engineering, and model evaluation.
• Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git).
• Strong communication and storytelling skills with a data-driven mindset.