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Data Science Consultant

Salary undisclosed

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Project Description:

The client is seeking an experienced Data Science Consultant to support a high-impact project within the COO CEDA division. This role involves developing AI-driven analytical models, building data pipelines, and delivering advanced analytics solutions to assist business partners across the organization. The candidate will play a key role in applying machine learning techniques, large language models (LLMs), and natural language processing (NLP) to drive data-driven decision-making.

Responsibilities:

  • Develop and optimize data models using Python, PySpark, and machine learning techniques to support AI initiatives.
  • Work with Natural Language Processing (NLP), Large Language Models (LLMs), and statistical models like logistic regression and decision trees to deliver advanced analytical solutions.
  • Build automated pipelines for model development and collaborate with business teams to translate needs into actionable data models.
  • Present findings and insights, ensuring models are scalable and ready for deployment in production environments.

Required Skills:

  • 7+ years of experience in Analytics, Data Science, or a related field, with hands-on experience in Python modeling.
  • Experience with Large Language Models (LLMs) and Natural Language Processing (NLP).
  • Proficiency in Python, SQL, PySpark, and H2O for data modeling and machine learning applications.
  • Strong background in statistical modeling, data engineering, logistic regression, and decision tree models.
  • Proven ability to organize and analyze large datasets, with a focus on actionable insights.

Preferred Skills:

  • Background in automated model development platforms and cloud-based analytics.
  • Experience in banking, finance, or regulatory environments (not required, but a plus).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Project Description:

The client is seeking an experienced Data Science Consultant to support a high-impact project within the COO CEDA division. This role involves developing AI-driven analytical models, building data pipelines, and delivering advanced analytics solutions to assist business partners across the organization. The candidate will play a key role in applying machine learning techniques, large language models (LLMs), and natural language processing (NLP) to drive data-driven decision-making.

Responsibilities:

  • Develop and optimize data models using Python, PySpark, and machine learning techniques to support AI initiatives.
  • Work with Natural Language Processing (NLP), Large Language Models (LLMs), and statistical models like logistic regression and decision trees to deliver advanced analytical solutions.
  • Build automated pipelines for model development and collaborate with business teams to translate needs into actionable data models.
  • Present findings and insights, ensuring models are scalable and ready for deployment in production environments.

Required Skills:

  • 7+ years of experience in Analytics, Data Science, or a related field, with hands-on experience in Python modeling.
  • Experience with Large Language Models (LLMs) and Natural Language Processing (NLP).
  • Proficiency in Python, SQL, PySpark, and H2O for data modeling and machine learning applications.
  • Strong background in statistical modeling, data engineering, logistic regression, and decision tree models.
  • Proven ability to organize and analyze large datasets, with a focus on actionable insights.

Preferred Skills:

  • Background in automated model development platforms and cloud-based analytics.
  • Experience in banking, finance, or regulatory environments (not required, but a plus).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job