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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: <ul><li>Innovative Start-up Environment: Enjoy the flexibility to design, implement, and influence the development of cutting-edge solutions.</li><li>Transparency and Meritocracy: We value clear communication, eschew politics, and promote an open culture where contributions are recognized and rewarded.</li><li>Ownership and Impact: We encourage team members to take ownership, think beyond their roles, and contribute to the company's success in meaningful ways.</li><li>Competitive Compensation: We offer a competitive salary and a potential equity package, aligning your success with the company's growth.</li></ul><div style="box-sizing: border-box; outline: 0px; color: rgb(0, 0, 0); font-family: -apple-system, BlinkMacSystemFont, ;"><h4 style="box-sizing: border-box; outline: 0px; font-family: -apple-system, BlinkMacSystemFont, ;">Job Description:</h4></div><div>Key Responsibilities<span style="box-sizing: inherit; margin: 0px; padding: 0px; border-color: rgba(0, 0, 0, 0.9); border-style: none; border-width: 0px; border-image: none 100% / 1 / 0 stretch; font-size: 14px; vertical-align: baseline; background-image: none; background-position: 0% 0%; background-size: auto; background-repeat: repeat; background-attachment: scroll; background-origin: padding-box; background-clip: border-box; outline: rgba(0, 0, 0, 0.9) none 0px; font-family: -apple-system, system-ui, BlinkMacSystemFont, "> <ul><li>Assist in developing machine learning models for credit scoring, fraud detection, and risk prediction</li><li>Work with large datasets for data cleaning, preprocessing, and feature engineering</li><li>Support model experimentation, evaluation, and performance optimization</li><li>Contribute to building automated ML pipelines for data processing and model training</li><li>Monitor model performance and data drift in production systems</li><li>Collaborate with data scientists, engineers, and product teams to translate business problems into ML solutions</li></ul></div><div>Required Skills</div><ul><li>1+ year experience working with Machine Learning models (classification/regression)</li><li>Strong Python programming skills</li><li>Experience with NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn</li><li>Knowledge of model evaluation, cross-validation, overfitting, and feature importance</li><li>Experience with data cleaning, preprocessing, and feature engineering</li><li>Basic SQL querying skills</li><li>Familiarity with Git and collaborative development</li></ul><div>Preferred Qualifications<span style="box-sizing: inherit; margin: 0px; padding: 0px; border-color: rgba(0, 0, 0, 0.9); border-style: none; border-width: 0px; border-image: none 100% / 1 / 0 stretch; font-size: 14px; vertical-align: baseline; background-image: none; background-position: 0% 0%; background-size: auto; background-repeat: repeat; background-attachment: scroll; background-origin: padding-box; background-clip: border-box; outline: rgba(0, 0, 0, 0.9) none 0px; font-family: -apple-system, system-ui, BlinkMacSystemFont, "> <ul><li>Degree in Computer Science, Data Science, Mathematics, or related field</li><li>Exposure to Fintech / Credit Risk / Business Analytics</li><li>Basic understanding of MLOps, model deployment, or pipeline automation</li><li>Passion for learning new ML tools and technologies</li></ul></div><div> </div>

Junior Data Scientist