What you'll do:

• Collect, clean, and preprocess data from various sources and databases.
• Processing confidential data and information according to guidelines.
• Implement statistical and machine learning algorithms for predictive modeling.
• Conduct model testing and validation, including performance evaluation.
• Converting business requirements from client to data driven output
• Collaborate effectively with cross-functional teams, including data engineers and business analysts.
• Take initiative to learn and experiment with new techniques and tools.

What makes you a great fit:

• Bachelor's degree from reputed Engineering colleges.
• 1-3 years of work experience in data Science, preferably in a startup.
• 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, 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, 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.