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    Lead Data Scientist - Chennai, India - Cognizant Technology Solutions

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    Description

    Level: Mid Senior Level

    Qualification: UG/PG

    Key Responsibilities

    ? Define, build, and lead a team of Data Scientists and Data analysts

    ? Discover areas in operations that can be automated through machine learning

    ? Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques

    ? Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions

    ? Work closely with internal stakeholders and align them with respect to your focus area

    ? Innovate by adapting new modeling techniques and procedures

    ? Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.

    Qualifications and Experience

    ? 12+ years of work experience in Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative

    ? Bachelor or Master degree with 5+ years of experience managing teams

    ? Experience in Machine learning (decision trees, multivariate and logistic regression, kNN, kMeans, etc.)

    ? Experience in projects around operations domain( field operations, Desk operations , call center operations etc)

    ? Knowledge of various machine learning techniques and key parameters that affect their performance

    ? Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills

    ? Experience processing and presenting large quantities of data along with the Combination of deep technical skills .

    ? Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

    ? Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to customers, engineering teams and other business audiences

    ? Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations


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