SDE1 Data Scientist

App-based lending platform. ( AF1)

SDE1 Data Scientist

Multi Recruit

Company

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SDE1 Data Scientist

at App-based lending platform. ( AF1)

Agency job

via Multi Recruit

1 - 2 yrs

₹15L - ₹17L / yr

Bengaluru (Bangalore)

Skills

Machine Learning (ML)

Data Science

Data Scientist

Python

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

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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