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    Job · 12306267

    NOIDA · FULLTIME

    Data Scientist

    Pitney Bowes logo

    Pitney Bowes

    Noida · onsite · Posted 63d ago

    Sourced fromFoundit
    Not disclosed3–4 yrsfulltimeNoida

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Job description

    • Identify valuable data sources and automate collection processes
    • Undertake preprocessing of structured and unstructured data
    • Analyze large amounts of information to discover trends and patterns
    • Build predictive models and machine-learning algorithms
    • Combine models through ensemble modeling
    • Present information using data visualization techniques
    • Propose solutions and strategies to business challenges
    • Collaborate with engineering and product development teams

    Requirements and skills

    • Proven experience as a Data Scientist or Data Analyst
    • Experience in data mining
    • Understanding of machine-learning and operations research
    • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
    • Experience using business intelligence tools (e.g. Tableau) and data frameworks
    • Analytical mind and business acumen.
    • Problem-solving aptitude
    • Excellent communication and presentation skills
    • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

    Sourced from foundit

    Section · 02

    Skills

    r programmingSQLData VisualizationJavadata analysis

    Section · Company

    About Pitney Bowes

    Pitney Bowes logo

    Pitney Bowes

    IT Services & Consulting

    87

    employees

    1920

    106 years old

    Stamford

    United States (USA)

    ₹23.2L PA avg

    Avg at Pitney Bowes

    About

    Pitney Bowes provides technology solutions that enhance e-commerce and logistics transactions, serving a vast clientele globally.

    Industries

    IT Services & ConsultingInternet

    Employee ratings

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    3.7/ 5

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