Senior Data Scientist

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    • Graduate in a quantitative subject (engineering, maths, statistics, econometrics, management etc.) and from a good institute.
    • At least 6 to 8 years of hands-on experience in the analytics and machine learning domain.
    • Ability to map business problems to analytics solutions and technique.
    • Ability to structure business problems into proper methodical analysis frameworks.
    • Can identify, develop and implement the appropriate statistical techniques, algorithms and data mining.
    • Good exposure to exploratory analysis and knack of deriving business insights & value. Comfortable with exploring large data sets.
    • Can innovate new modelling and machine learning approaches to come up with innovative products and features.
    • Has strong consultative skills in addition to quantitative (and statistical) ability to harness customer data in order to address business problems that materially impact business.
    • Can work under minimal supervision and display strong independent behaviour while leading the team in developing structured analysis.
    • Should have experience in at least one of the following areas – NLP, NLG, Image Classification/Computer Vision etc.
    • Prior experience in Forecasting & Optimization Techniques will be an added advantage.
    • Ability to provide solutions such as: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Regression.
    • Must have –Python, SQL & Excel.
    • Good to have – Scala, Julia, Java
    • Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout) is a plus.
    • Bonus points for implementation of Big Data and/or Streaming data analytics