Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
6+ 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

Data Scientist

Key skills