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Data Scientist

Position Description

Our artificial intelligence and machine learning team needs Data Scientists with the capability to perform independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML (Artificial Intelligence & Machine Learning) space, then we would like to talk with you. Individuals should be able to break down business problems into smaller components and implement ML approaches to empower the end business decisions  

Job Responsibilities

  • Ability to understand a problem statement and implement analytical solutions & techniques independently
  • Work and collaborate with the project teams to deliver and create value for clients
  • Fast learner: ability to learn and pick up a new language/tool/ platform quickly
  • Conceptualize, design and deliver high-quality solutions and insightful analysis
  • Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems.
  • Provide solutions but not limited toCustomer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization

Qualification & Experience

Mandatory:

  • Intermediate to expert level proficiency in at least one of R and Python
  • Experience of working on a project end-to-end: problem scoping, data gathering, EDA, visualizations, modeling and insights
  • Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those
  • Intermediate to expert level proficiency in statistical/ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST etc.
  • Working experience and statistical clarity in traditional algorithms like time series modeling, dimensionality reduction, SEM, GLM, GLMM, clustering and related areas
  • Structured thinking and articulating the algorithms used to internal project teams/ clients in a simplified manner

Preferred:

  • Intermediate to expert level proficiency and thorough understanding of at least one of the upcoming technologies like deep learning, NLP, image processing, recommender systems
  • Good to have experience of working in on one or more domains:
    • CPG: pricing and promotion analytics, marketing analytics, trade promotions, supply chain management
    • BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection
    • Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse
  • Fair understanding of distributed computing in multicore and/or clusters, especially using R/Python
  • Experience in participation at global analytics contests like Kaggle
  • Experience working within a Linux computing environment and use of command line tools
  • Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how version control software works, especially Git.
  • Experience in designing basic UI – JavaScript, CSS, and PHP
  • Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, and the AWS CLI)
  • Thorough grasp at data structures including RDBMS, NoSQL, MongoDB etc.
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