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Senior Data Scientist

Salary: 10 - 30 lacs/annum
Location: Delhi
Company: Paysense
Hours: Full time
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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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