Engineer

TATA Consulting ServicesJersey City, NJ
34d$95,000 - $125,000

About The Position

Engineer Data Scientist Must Have Technical/Functional Skills Technical Skills Machine Learning (ML) techniques and algorithms Hypothesis Testing and Statistical Analysis Regression Analysis and Predictive Modeling Natural Language Processing (NLP) Programming in Python and/or R SQL for data manipulation and querying Experience with PyTorch and TensorFlow Functional Skills Strong foundation in Mathematics and Statistics Familiarity with Machine Learning product system design Understanding of Large Language Models (LLMs) Proficiency in model documentation and model governance Roles & Responsibilities Work with business SMEs to understand data requirements and translate them into predictive models and analytical tools. Apply NLP and applied mathematics techniques to develop text classification tools for automating manual document review processes. Present insights using data visualization techniques and communicate findings effectively. Assess the accuracy and effectiveness of new data sources and data gathering techniques. Develop processes and tools to monitor and analyze model performance.

Requirements

  • Machine Learning (ML) techniques and algorithms
  • Hypothesis Testing and Statistical Analysis
  • Regression Analysis and Predictive Modeling
  • Natural Language Processing (NLP)
  • Programming in Python and/or R
  • SQL for data manipulation and querying
  • Experience with PyTorch and TensorFlow
  • Strong foundation in Mathematics and Statistics
  • Familiarity with Machine Learning product system design
  • Understanding of Large Language Models (LLMs)
  • Proficiency in model documentation and model governance

Responsibilities

  • Work with business SMEs to understand data requirements and translate them into predictive models and analytical tools.
  • Apply NLP and applied mathematics techniques to develop text classification tools for automating manual document review processes.
  • Present insights using data visualization techniques and communicate findings effectively.
  • Assess the accuracy and effectiveness of new data sources and data gathering techniques.
  • Develop processes and tools to monitor and analyze model performance.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Professional, Scientific, and Technical Services

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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