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.
