Data Scientist - Numpy/Pandas (0-2 yrs)

Requirements :

1. Good knowledge of Python for Data Science and related libraries and frameworks (NumPy, Pandas, Scikit Learn, Tensorflow, etc.)

2. Beginner to intermediate knowledge of LLMs-RAG-Finetuning

3. Good knowledge of Statistics, Hypothesis testing, Supervised-Unsupervised learning

Data scientist roles and responsibilities include :

- Data mining or extracting usable data from valuable data sources

- Using machine learning tools to select features, create and optimize classifiers

- Carrying out the preprocessing of structured and unstructured data

- Enhancing data collection procedures to include all relevant information for developing analytic

systems

- Processing, cleansing, and validating the integrity of data to be used for analysis

- Analyzing large amounts of information to find patterns and solutions

- Developing prediction systems and machine learning algorithms

- Presenting results in a clear manner

- Propose solutions and strategies to tackle business challenges

- Collaborate with Business and IT teams

- Build Statistical and ML models to predict/classify and transform business data.

- Work with Data Engineering team to specify requirements based on data as required.

- Work on Snowflake Datawarehouse platform, Cortex AI to train and deploy ML models