Data Scientist

Bengaluru, Karnataka, India | Technology | Full-time

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The thrill of working at a start-up that is starting to scale massively is something else.

 

Simpl (getsimpl.com) was formed in 2015 by Nitya Sharma, an investment banker from Wall Street and Chaitra Chidanand, a tech executive from the Valley, when they teamed up with a very clear mission - to make money simple, so that people can live well and do amazing things. Simpl is the payment platform for the mobile-first world, and we’re backed by some of the best names in fintech globally (folks who have invested in Visa, Square and Transferwise), and has Joe Saunders, Ex Chairman and CEO of Visa as a board member.

 

Everyone at Simpl is an internal entrepreneur who is given a lot of bandwidth and resources to create the next breakthrough towards the long term vision of “making money Simpl”. Our first product is a payment platform that lets people buy instantly, anywhere online, and pay later. In the background, Simpl uses big data for credit underwriting, risk and fraud modelling, all without any paperwork, and enables Banks and Non-Bank Financial Companies to access a whole new consumer market.

 

Job Description :

 

Responsibilities:

  • Work with business stakeholders in the organization to identify avenues to take data backed decisions.
  • Collaborate with product and engineering teams for carrying out experiments and accommodating new changes to the data platform.
  • Transform the business problem into a mathematical one to leverage cutting edge techniques in machine learning and optimization.
  • Test hypothesis, generating insights, performing root cause analysis, factor analysis.
  • Statistical model (predictive & prescriptive) development using various statistical & machine learning techniques/algorithms.
  • Develop processes & tools to monitor and analyse model performance & accuracy.
  • Data Extraction from Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing Exploratory Data Analysis.
  • Write clean & easy to maintain code and productionise it.

 

Requirements:

  • Strong problem solving skills
  • Deployed at least one industrial project using supervised / unsupervised machine learning.
  • Good programming skills with clarity in fundamentals - preferably Python
  • Knowledge of Python Libraries like Scipy, Numpy, Pandas, IPython, Scikit-learn is a plus
  • Proficient with SQL and relational databases
  • Proficient with git
  • Familiarity with infrastructure tools like AWS EC2, AWS EMR, AWS Redshift, Redis, Kafka is a plus
  • Good communication skills