Data Scientist - Dearborn, United States - McCulloh Consulting

McCulloh Consulting Dearborn, United States

3 days ago

Description

Job Description

Are you a Data Professional with Engineering experience and a desire to work in Data Science? Do you possess a strong background in providing data solutions with R or Python? Do you want to live in the Detroit area and find out what all the buzz is about? If so, keep reading about this amazing opportunity.

Responsibilities:

Leverage advanced data analytics and the latest and greatest tools to solve complex business problems, improve operational efficiency, and make data-driven decisions.

Drive improvements in supply chain operations through big data analysis and modeling Develop innovative tools that translate complex data into actionable insights for key stakeholders

Leverage cutting-edge technologies such as Google Cloud Platform (GCP) to drive more informed business decisions through data

Execute digital transformation projects to improve supply chain operations

Deliver tangible value for customers and stakeholders through data-driven insights and solutions

Required Skills:

Bachelors degree in computer or data science, engineering, statistics, operations research, or other quantitative areas. An advanced degree in any of the above disciplines is preferred

Ability to extract actionable insights from data

Experience using SQL to extract, clean, and transform data in large, complex, nested databases

3+ years of experience as a researcher, analyst, data scientist or solution developer

3+ years of experience with Python, Alteryx, R, SQL, Tableau, MINITAB, CPLEX, Qlikview, QlikSense, Hadoop

3+ years of experience in data mining, statistical analysis, modeling, optimization

1+ years of experience in GCP and either Big Query or Vertex AI

3+ year ML experience using python

Experience doing research, analysis, data science or solution development

Excellent written and verbal communication skills and strong intellectual curiosity

Experience in statistical analysis and modeling

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