Data Scientist (India) - Delivery

Responsibilities

The data science team is responsible for solving business problems on complex data. Data complexity could be characterized in terms of volume, dimensionality and multiple touchpoints/sources. We understand the data, ask fundamental-first-principle questions and apply our analytical and machine learning skills to solve the problem in the best way possible. The problems that we tackle are focused on our 2 products/IP related to anti-money laundering (AML) and financial exception management. In addition, the team plays a pivotal role in shaping company IP, primarily in area of approach, model selection, model tuning and feature engineering, so that engineering can take this up and automate the same via a pipeline.

Our Ideal Candidate

  • Identifying the key problems faced by our clients and the AML product, and executing a research plan to solve it;
  • Implementing solutions to upgrade feature engineering and modelling pipelines of the AML product;
  • Maintaining effective communication with the product, delivery and engineering teams, and providing sufficient assistance based on priorities

Requirements:

  • Prior experience in Python and Spark;
  • Ability to execute research plan using machine learning technologies;
  • Excellent problem-solving skills;
  • Expertise in NLP, graph database and graph algorithms would be a plus.
  • Deep experience in big data would be a plus.

AMLS focus areas for the role

  • Name Screening
  1. Building NLP pipeline to extract essential profile information from free text;
  2. Finding the best solution to do entity resolution;
  • Transaction Monitoring
  1. Upgrading the unsupervised pipeline to do more effective clustering and anomaly detection;
  2. Building a link analysis pipeline using graph databases and algorithms;
  3. Upgrading the supervised pipeline by improving on feature engineering and making clustering more effective

Desired Non-technical Requirements

  • Very strong communication skills both written and verbal
  • Strong desire to work with start-ups
  • Must be a team player

Job Perks

  • Attractive variable compensation package
  • Flexible working hours – everything is results-oriented
  • Opportunity to work with an award-winning organization in the hottest space in tech – artificial intelligence and advanced machine learning