Senior Data Scientist
Paysense
Noida, India
2d ago
source : Cutshort

About the job : - You will architect, code and deploy ML models (from scratch) to predict credit risk.

  • You will design, run, and analyze A / B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk.
  • You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults.
  • And you must truly be excited about this part.

  • You ll use behavioral and social data to gain insights into how humans make financial choices- You will spend a lot of time in building out predictive features from super sparse data sources.
  • You ll continually acquire new data sources to develop a rich dataset that characterizes risk.
  • You will code, drink, breathe and live python, sklearn and pandas.
  • It s good to have experience in these but not a necessity - as long as you re super comfortable in a language of your choice.

    About you : - You ve strong computer science fundamentals - You ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged.

    You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics / quant / engineering from Tier-1 institutes.

    Skills : - Data Science, Python, Perl, Django, Machine Learning (ML) and Data Analytics

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