Description

You will solve ill-defined problems using quantitative modeling, statistical analysis, and machine learning.

This role is hybrid.

Responsibilities

• Perform quantitative modeling and statistical analysis to solve complex business problems.
• Implement machine learning models using Python-based libraries.
• Execute SQL and GCP native queries for data mining and extraction.
• Clean, collect, and wrangle real-world data for analysis.
• Develop data visualizations using web frameworks or BI tools.

Required Skills

• 2+ years of experience managing independent projects with Python (pandas, SciPy, Scikit-learn, TensorFlow, Statsmodels) and R.
• 2+ years of experience in visualization tool development using Angular, React, Dash, PowerBI, or Qliksense.
• Proficiency in SQL for data acquisition and transformation.
• Experience with GCP native queries for data mining.
• Strong statistical analysis and quantitative modeling skills.
• Ability to work proactively with unstructured or poorly defined problems.
• Undergraduate degree in Statistics, Data Science, Computer Science, or a related quantitative discipline.

Key Skills

Education

Any Graduate