Junior Data Scientist

About the Role

The Junior Data Scientist at Raw Ventures will work on advanced data science solutions to enhance the integrity and efficiency of operations. You will develop systems for anomaly detection, fraud prevention, predictive maintenance, and customer lifecycle management.

Initially, focus will be on preprocessing, cleaning, and validating data across multiple sources, gradually moving toward taking ownership of model development, monitoring, and improvements across various applications.

Key Responsibilities

• Data Management & Preprocessing: Collect, clean, and preprocess data from internal and external sources ensuring quality and consistency.
• Model Development & Ownership: Design, train, validate, and own predictive models; run experiments and monitor performance.
• Collaboration & Reporting: Work closely with the data science lead and present findings to diverse stakeholders.

Requirements

• Essential: Strong foundation in data analysis and statistics, proficiency in Python and SQL, and experience in data visualization.
• Nice to Have: Familiarity with gradient boosting libraries and model evaluation techniques, including SHAP values.
• Soft Skills: Analytical curiosity, problem-solving mindset, strong communication skills, and ability to work independently.

Key skills/competency

• Data Analysis
• Python
• SQL
• Model Development
• Anomaly Detection
• Data Preprocessing
• Visualization
• Statistics
• Collaboration
• Communication