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    Lead Data Scientist - Chennai, India - Wenger & Watson Inc

    Wenger & Watson Inc
    Wenger & Watson Inc Chennai, India

    Found in: Appcast Linkedin IN C2 - 1 day ago

    Default job background
    Human Resources
    Description

    Exp-6+ yrs

    Location-Chennai(WFO)

    compulsory work from office (1st and last saturday working)

    notice period-30-immediate joiner

    Job Role

    • this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data.
    • help our company analyze trends to make better decisions.
    • propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, integrate the models with the business processes and consuming systems via ML Ops processes.
    • ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action.

    Key Accountabilities

    Responsibilities will include but will not be restricted to:

    • models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities.
    • preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns.
    • the effectiveness and accuracy of new data sources and data gathering techniques.
    • with different functional teams to implement models and monitor outcomes.
    • processes and tools to monitor and analyze model performance and data accuracy.

    Technical Requirements (what)

    • experience of 5+ years as a Data Scientist.
    • Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus.
    • of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement.
    • and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks.

    Desired Personal Qualities or Behavior

    • Analytical critical thinking skills and business acumen
    • commitment to professional development.
    • Oriented and excellent time management skills.
    • to adapt to new situations and issues and to solve problems.
    • organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike.
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