Data Scientist

Overview

Candidate who excels at preparing raw data for analysis and has the expertise to derive actionable features for analytics and machine learning.

Candidate will be involved in the full data lifecycle—from ingestion and cleaning to modeling and feature engineering.

Experience : 5 to 8 Years

Key Responsibilities

• Data Collection & Organization : Gather raw data from diverse sources and structure it into usable formats.
• Data Cleaning : Identify and correct errors, handle missing values, and resolve formatting inconsistencies.
• Data Transformation : Reshape and restructure datasets to meet analytical requirements.
• Data Analysis & Modeling : Apply statistical and machine learning techniques to analyze data and build predictive models.
• Feature Engineering : Design, create, and select meaningful features from raw data to improve model performance and interpretability.
• Experimentation : Design and execute experiments to test hypotheses and measure impact.
• Visualization : Create compelling visualizations and dashboards to communicate findings. (ex. SHAP, Features, Correlation, etc)

Technical Skills

Education & Experience