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App-based lending platform. ( AF1) logo
SDE1 Data Scientist
App-based lending platform. ( AF1)
SDE1 Data Scientist
App-based lending platform. ( AF1)'s logo

SDE1 Data Scientist

at App-based lending platform. ( AF1)

Agency job
1 - 2 yrs
₹15L - ₹17L / yr
Bengaluru (Bangalore)
Skills
skill iconMachine Learning (ML)
skill iconData Science
Data Scientist
skill iconPython
pandas
Logistic regression
SKLearn
Random Forest Classifier
Gradient Boosting Regressor
  • Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
  • Implement data pipelines, new features, and algorithms that are critical to our production models
  • Create scalable strategies to deploy and execute your models
  • Write well designed, testable, efficient code
  • Identify valuable data sources and automate collection processes.
  • Undertake to preprocess of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.

Requirements:

  • 1+ years of experience in applied data science or engineering with a focus on machine learning
  • Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
  • strong quantitative and programming skills with a product-driven sensibility

 

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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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