Data Scientist: ML & Logistics Optimization

Meridian Meadows Solutions; St. Louis (MO); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement plans with employer match

Paid time off

Job summary

Meridian Meadows Solutions in St. Louis, MO, is hiring a Data Scientist to leverage data science to support decision-making and boost operational efficiency. You will analyze large datasets, build predictive models, and communicate insights to stakeholders while collaborating with software engineers to deploy models.

A collaborative team in our St. Louis office will support your growth and development. The ideal candidate holds a Master’s in a relevant field and has strong Python/SQL skills, ML

Qualifications

• Requires a Master’s degree in Data Science, CS, Statistics, or related field.
• Experience in data analysis, ML, and statistical modeling.
• Strong programming skills in Python and SQL.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with cloud platforms like AWS or Azure is a plus.
• Excellent analytical and problem‑solving skills.

Responsibilities

• Develop and implement data-driven solutions to optimize logistics and supply chain operations.
• Analyze large datasets to identify trends, patterns, and insights for process improvement.
• Collaborate with cross-functional teams to translate business needs into data science projects.
• Create and maintain data pipelines and ETL processes to support analysis efforts.
• Communicate findings and recommendations to stakeholders clearly and concisely.
• Stay up-to-date with data science and ML advances and apply them to projects.

Skills

Python

SQL

Machine learning

Statistical modelling

Data analysis

Problem solving

Education

Master's degree in Data Science/CS/Statistics

Tools

Tableau

Power BI

AWS

Azure

Job description

Meridian Meadows Solutions in St. Louis, MO, is hiring a Data Scientist to leverage data science to support decision-making and boost operational efficiency. You will analyze large datasets, build predictive models, and communicate insights to stakeholders while collaborating with software engineers to deploy models.

A collaborative team in our St. Louis office will support your growth and development. The ideal candidate holds a Master’s in a relevant field and has strong Python/SQL skills, ML