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Gurgaon

    Manager - Data Science - Time Series Forecasting (6-9 yrs) - Gurgaon/Gurugram, India - iimjobs

    Iimjobs background
    Full time
    Description

    Summary of Responsibilities:

    • Understanding business objectives and formulate the problem as a Data Science problem
    • Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting
    • Develop and maintain robust data processing pipelines and reproducible modelling pipelines
    • Explore data and communicate insights clearly to nontechnical as well as technical audience
    • Analyze experimental results, iterate and refine models to create significant business impact
    • Indepth understanding of classical statistical forecasting algorithms like ARIMA, ETS, etc. as well as new age algorithms like Prophet.
    • Proven experience is handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc.
    • Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, Transformers, etc. especially in the context of Time Series Forecasting.
    • Proficiency with at least one Deep Learning Framework such as PyTorch, Tensorflow, etc.
    • Ability to guide and mentor junior Data Scientists on solution development

    Desired Skills:

    Requirements:

    • Bachelor's Degree in a Quantitative discipline, preferably Computer Science
    - >4 years' experience in data science/Analytics roles

    • Proven experience as a Data Scientist or similar role
    • Expert ability to write robust code in Python
    • Expert skill at manipulating dataframes using Pandas and arrays using Numpy
    • Familiarity with standard machine learning libraries (like scikitlearn , StatsModels)
    • Deep Learning Frameworks like Tensorflow, PyTorch etc.
    • Completed Projects on Time Series Forecasting, beyond statistical algorithms like ARIMA
    • Excellent verbal and written communication skills
    • You take complete ownership of your work and are selfdriven


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