Data Scientist

At least 2-4 years of experience of working with real-world data and building statistical models. preferably in a startup.

Bachelor degree from a reputed Engineering college.

Work on AI and Deep learning projects

• Experience with data visualization tools (e. g., Matplotlib, Seaborn, Tableau).
• Proficiency in using query languages such as SQL and experience of working with relational and non-relational databases like MySQL, Postgres, Presto, and Mongo (Athena/redshift experience is an added advantage).
• Proficiency in any modern BI tools like Tableau
• Understanding of Python for Data pre-processing/building models using Numpy, Pandas, Scikit, and Tensorflow. NLP and LLM understanding is good to have.
• Understanding of Basic Statistics.
• Previous experience with version control systems (e. g., Git).
• High-level written and verbal communication skills.
• Deep understanding of key supervised and unsupervised ML algorithms - should be able to explain what is happening under the hood and their real-world advantages/drawbacks.
• Strong foundation of statistics and probability theory.
• Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications.
• Exposure or Experience in Computer Vision (Open CV, Object Detection).
• Good conceptual grasp of Algorithms, Math, Under-the-hood stuff.