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Data Scientist-Time Series


LTIMindtree


Location

Bangalore | India


Job description

Experience: 8-15 years Location: Bangalore, Mumbai , Pune , Chennai , Coimbatore , Hyderabad Notice period: Immediate -30 days

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 non-technical as well as technical audience Analyze experimental results, iterate and refine models to create significant business impact In-depth 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.


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