Data Scientist

• Develop scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.
• Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies.
• Assess the effectiveness of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets.
• Use Generative AI and predictive modeling to enhance customer experiences, revenue generation and other business outcomes.

You must have

• Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.
• Ability to perform EDA and visualize the data.
• Aptitude and skills in Machine Learning, e.g., Natural Language Processing, Bayesian model, Deep Learning, and Large Language Models.
• Strong programming skills in Python, SQL. Strong understanding of DSA.
• Strong ambition to learn and implement current state of the art machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch and Spark.
• Familiarity with Linux/OS X command line, version control software (git), and general software development.
• Familiarity with APIs
• Experience in programming or scripting to enable ETL development.
• Familiarity with relational databases and Cloud (AWS).
• Understanding of Reinforcement Learning and Causal Inference will be preferred.

Qualifications

• B.Tech or B.E. or M.Tech or MS in Computer Science / Masters in Mathematics / Statistics from a premium institute
• Minimum 4 - 6 years of experience in relevant role