Description

You will extract, analyze, and visualize data to drive business insights using Python and SQL.

This role is remote.

Responsibilities

• Write Python and SQL code to extract and manipulate data from NoSQL, RDBMS, and data warehouses.
• Perform statistical analysis including hypothesis testing, regression, and time series analysis.
• Build and evaluate classical machine learning models such as linear regression, decision trees, and random forests.
• Create visualizations and reports using Tableau, Power BI, or Python libraries to present findings.
• Engineer features and validate data quality during wrangling processes.

Required Skills

• 5+ years of experience in data science or analytics roles.
• Strong proficiency in Python for data analysis and machine learning.
• Expert-level SQL skills for data extraction and manipulation.
• Experience with Jupyter Notebook or similar interactive coding environments.
• Hands-on experience with NoSQL, RDBMS, and data warehouses.
• Proficiency in visualization tools such as Tableau or Power BI.
• Strong foundation in probability, statistics, and regression analysis.

Preferred Skills

• Experience with time series analysis and forecasting.
• Familiarity with clustering methods like K-Means.

Key Skills

Education

Bachelor's degree