Data Scientist

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, a key player in logistics and supply chain management, is hiring a Data Scientist in Fort Worth, TX. This full-time role involves analyzing complex data sets to optimize supply chain operations.

In this position, you will apply advanced analytical techniques to drive business growth and efficiency. You will collaborate with cross-functional teams to develop and implement data-driven solutions for client challenges.

You will work in a dynamic team environment in Fort Worth, TX. The workplace is known for its innovative culture and commitment to excellence in logistics and supply chain management.

The salary range for this position is $110,000 to $146,379, reflecting the competitive nature of the role and the value it brings to the organization.

  • In addition to the base salary, employees are entitled to comprehensive health insurance coverage, which includes medical, dental, and vision plans.
  • The retirement plans offer a generous employer match, providing financial security for the future.
  • Professional development opportunities are also available, allowing employees to enhance their skills and advance their careers within the company.
  • These benefits are designed to support the overall well-being and growth of the employees, ensuring they can thrive both personally and professionally.

To excel in this role, you should have a Master's degree in Data Science, Statistics, or a related field. Experience with Python, R, and SQL is essential. Familiarity with machine learning algorithms and big data technologies is a plus.

Interested candidates are invited to submit their applications by November 23, 2026.

What You Will Do:
  • 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 in a clear and concise manner
What You Bring:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • 3+ years of experience in data science, machine learning, or a related field
  • Proficiency in Python and SQL
  • Experience with data visualization tools such as Tableau or Power BI
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills
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