Senior Data Scientists lead data analysis projects and provide strategic insights. Responsibilities include designing complex models, mentoring junior data scientists, and ensuring the quality of analytical work. You will work closely with business leaders to understand needs and deliver actionable insights. Extensive experience in data science and leadership skills are required. **Required Skills and Experience:** - Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. - 5+ years of experience in data science, building hands-on ML models. - Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning - Knowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation - Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc - SQL skills with SQL Server and Spark experience is preferred but not necessary. - Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks - Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. - Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment - Experience with cloud platforms such as Azure, AWS, Databricks is preferred ### Responsibilities Lead the development and optimization of complex data models, Oversee data science project management and execution, Mentor junior data scientists, Ensure data solutions align with organizational goals, Provide strategic guidance on data science technologies. ### Qualifications Bachelor's/Master's in Engineering 5-8 years