Jr. Data Scientist

Role Overview

We are looking for a skilled Data Scientist with strong experience in classical machine learning, regression modeling, and statistical analysis. The ideal candidate should have hands-on experience working with structured/tabular datasets and be able to translate data insights into actionable business solutions.

What You Will Do

Develop, train, and deploy machine learning models to solve business problems, perform data cleaning, preprocessing, and feature engineering, apply statistical techniques, build and validate regression and predictive models, analyze large datasets, and communicate findings to stakeholders.

Why It Might Be a Fit

The ideal candidate should have 3+ years of experience as a Data Scientist or in a similar role, strong expertise in classical machine learning algorithms and regression modeling, solid understanding of statistics, proficiency in Python and key data science libraries, experience working with structured/tabular data, strong analytical thinking and problem-solving skills, and ability to explain complex models and results to non-technical stakeholders.

Requirements

• 3+ years of experience as a Data Scientist or in a similar role
• Strong expertise in classical machine learning algorithms and regression modeling
• Solid understanding of statistics including: Probability, Statistical distributions, Hypothesis testing, Correlation analysis
• Proficiency in Python and key data science libraries: scikit-learn, pandas, NumPy
• Experience working with structured/tabular data
• Strong analytical thinking and problem-solving skills
• Ability to explain complex models and results to non-technical stakeholders