Jr. Data Scientist

Responsibilities

• Develop, train, and deploy machine learning models to solve business problems
• Perform data cleaning, preprocessing, and feature engineering on structured datasets
• Apply statistical techniques such as hypothesis testing, probability analysis, and correlation studies
• Build and validate regression and predictive models using machine learning techniques
• Analyze large datasets to extract actionable insights
• Work closely with product, engineering, and business teams to understand requirements
• Communicate model performance, insights, and recommendations to stakeholders
• Continuously improve models through experimentation and evaluation

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, distributions, hypothesis testing, and correlation analysis
• Proficiency in Python and libraries such as scikit-learn, pandas, and 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