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Data Scientist
A Fintech startup
A Fintech startup's logo

Data Scientist

at A Fintech startup

Agency job
3 - 15 yrs
₹16L - ₹22L / yr
Remote, Bengaluru (Bangalore)
Skills
skill iconData Science
XGBoost
Retail banking
Random boosting
Gradient boosting
"Logistic Regression"
skill iconMachine Learning (ML)
  • 3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
  • Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
  • Strong problem solving skills and the ability to articulate really well.
  • Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
  • Strong working knowledge of python ML stack is very important here.
  • Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
  • Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.

Structured ML techniques for candidates:

 

  1. GBM
  2. XgBoost
  3. Random Forest
  4. Neural Net
  5. Logistic Regression
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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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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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