Senior Data Scientist

Bengaluru, Karnataka, India | Technology | Full-time

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What would a VISA/Mastercard payments network look like if designed ground up? Simpl is focused on re-imagining the payments stack that have not changed for decades . We believe that payments data, if harnessed the right way, can accelerate formal credit distribution in a market like India, while unlocking precision marketing opportunities.
 
Its first product is a micro credit based payment mode that provides greater than 99% success rate, instant refunds within seconds, tokenized security flow combined with the convenience of all the transactions getting added into a single bill, payable on the 1st and 16th of every month. To power our micro credit line, Simpl uses alternate data ( Multiple millions of data pings everyday) provided by merchants to underwrite users at internet scale. 
Simpl was founded in 2015 by Nityanand Sharma and Chaitra Chidanand, and went live in 2016

 

Major responsibilities include:
· Helping to build production systems that take inputs from multiple models and make decisions in real time.
· Deliver ML / DL projects from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
· Utilizing effectively data to work with terabytes of data.

Basic Qualifications

· Bachelors in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
· 4+ years of industry experience in predictive modeling, data science and analysis
· Previous experience in a ML or data scientist role and a track record of building ML or DL models
· Experience using Python and/or R
· Knowledge of SparkML
· Able to write production level code, which is well-written and explainable
· Experience using ML libraries, such as scikit-learn
· Experience working with GPUs to develop models
· Experience handling terabyte size datasets
· Track record of diving into data to discover hidden patterns
· Familiarity with using data visualization tools
· Knowledge and experience of writing and tuning SQL
· Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
· Experience giving data presentations
· Strong written and verbal communication skills