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Junior Data Scientist

icon building Company : Digitap.Ai
icon briefcase Job Type : Full Time

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Job Description - Junior Data Scientist


About Digitap.ai:


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.

Job Description:

Key Responsibilities
  • 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
Required Skills
  • 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
Preferred Qualifications
  • 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




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