Data Scientist - II

Responsibilities

• Understand the business problem and provide data science solutions.
• 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 project's performance and communicate the metrics to the business team.
  

Requirements

• Work Experience: 3+ Years of data science experience
• Machine Learning Knowledge: Well-versed with machine learning concepts and have built ML projects end-to-end. 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.
• Good to have experience in using LLMs for data science solutions