Data Scientist: Fort Worth Supply Chain Analytics & ML

Flint South Solutions

Fort Worth (TX)

On-site

USD 110,000 - 146,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Retirement match
Professional development
Well-being benefits

Job summary

Flint South Solutions in Fort Worth, TX, is hiring a Data Scientist to analyze complex data sets and optimize supply chain operations. This full-time role requires a Master’s degree and strong Python/SQL skills, with ML and big data experience a plus.

You will develop data-driven solutions, build pipelines, and deploy machine learning models to forecast key metrics. Collaborate with cross-functional teams and communicate insights to stakeholders for business growth.

Qualifications

  • Master's degree in Data Science, Statistics, or a related field.
  • Proficiency in Python and SQL; ML and big data tech is a plus.
  • 3+ years of data science or ML experience.

Responsibilities

  • Develop and implement data-driven solutions to optimize supply chain operations
  • Analyze large and complex data sets to identify trends, patterns, and insights
  • Collaborate with cross-functional teams to understand business needs and translate them into data science projects
  • Create and maintain data pipelines and ETL processes
  • Build and deploy machine learning models to predict and forecast supply chain metrics
  • Communicate findings and recommendations to stakeholders clearly and concisely

Skills

Python
SQL
Tableau
Power BI
Problem solving
Communication

Education

Master's degree in Data Science, Statistics, or related field
Bachelor's degree in Data Science, CS, Statistics, Mathematics or related field

Tools

Tableau
Power BI

Job description

Flint South Solutions in Fort Worth, TX, is hiring a Data Scientist to analyze complex data sets and optimize supply chain operations. This full-time role requires a Master’s degree and strong Python/SQL skills, with ML and big data experience a plus.

You will develop data-driven solutions, build pipelines, and deploy machine learning models to forecast key metrics. Collaborate with cross-functional teams and communicate insights to stakeholders for business growth.

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