Junior Data Scientist

Overview

DIGITAP.AI is an Enterprise SaaS company providing high-tech advanced AI/ML, Alternate Data Solutions to new-age internet-driven businesses for reliable, fast, and 100% compliant Customer Onboarding, Alternate Data Solutions for Automated Risk Management, and other Value-Added Services. Our proprietary Machine Learning Algorithms and Modules provide one of the best success rates in the market. We work with the top digital lenders of India & the team brings together deep and vibrant experience in Fintech Product & Risk Management, Fraud Detection, and Risk Analytics.

Culture and Benefits:

• Innovative Start-up Environment: Enjoy the flexibility to design, implement, and influence the development of cutting-edge solutions.
• Transparency and Meritocracy: We value clear communication, eschew politics, and promote an open culture where contributions are recognized and rewarded.
• Ownership and Impact: We encourage team members to take ownership, think beyond their roles, and contribute to the company's success in meaningful ways.
• Competitive Compensation: We offer a competitive salary and a potential equity package, aligning your success with the company's growth.
  
  
  

• Assist in developing machine learning models for credit scoring, fraud detection, and risk prediction
• Work with large datasets for data cleaning, preprocessing, and feature engineering
• Support model experimentation, evaluation, and performance optimization
• Contribute to building automated ML pipelines for data processing and model training
• Monitor model performance and data drift in production systems
• Collaborate with data scientists, engineers, and product teams to translate business problems into ML solutions
  
  
  

• 1+ year experience working with Machine Learning models (classification/regression)
• Strong Python programming skills
• Experience with NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn
• Knowledge of model evaluation, cross-validation, overfitting, and feature importance
• Experience with data cleaning, preprocessing, and feature engineering
• Basic SQL querying skills
• Familiarity with Git and collaborative development
  
  
  

• Degree in Computer Science, Data Science, Mathematics, or related field
• Exposure to Fintech / Credit Risk / Business Analytics
• Basic understanding of MLOps, model deployment, or pipeline automation
• Passion for learning new ML tools and technologies