Roles and responsibilities :

Understand the business problem and provide data science solutions.  Building data science solutions end to end. Carry out proof of concept for data science problems. Collaborate with product and engineering teams to build data science solutions ( end to end )  Do exploratory data analysis to support existing and future data science projects Build dashboards to monitor the data science projects performance and communicate the metrics to the business team.

Preferred Qualifications : 

Work Experience : 2-3 Years of data science experience Machine Learning Knowledge : Well versed with Machine Learning concepts and have built ML projects end to en. Understanding of mathematical concepts behind ML models. Statistical Data Analysis: Proficiency in applying statistical techniques to analyze data and generate useful business insights.  Data Visualization: Skill in creating meaningful visualizations of complex data sets using tools like Tableau, PowerBI, or Python libraries (e.g., Matplotlib, Seaborn). Model Evaluation and Tuning: Knowledge of techniques for evaluating and improving the performance of machine learning models. Coding Skills : Strong coding skills in Python. Able to write modular and reusable code.