Data Scientist

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, a leading logistics and supply chain management company, is hiring a Data Scientist in St. Louis, MO. This full-time position offers a negotiable salary and is open until November 23, 2026.

The Data Scientist will leverage their data science skills to support decision-making and enhance operational efficiency. Their responsibilities will encompass a wide range of tasks, including analyzing large datasets to identify patterns and trends, developing predictive models to forecast future outcomes, and providing actionable insights to stakeholders. They will work closely with cross-functional teams to understand business objectives and translate them into data science problems. The Data Scientist will also be responsible for communicating their findings effectively, ensuring that stakeholders can make informed decisions based on the insights derived from the data. Additionally, they will collaborate with software engineers to deploy models into production environments, ensuring that the solutions are scalable and robust.

You will work in a collaborative team at our St. Louis office in Missouri. The workplace is known for its supportive environment and opportunities for professional growth.

The salary for this position is negotiable, and the benefits package includes comprehensive health insurance, retirement plans with employer matching, and opportunities for professional development. Employees can also take advantage of additional perks such as paid time off, wellness programs, and access to a variety of training and certification courses. The company is committed to supporting its employees' growth and well-being, providing a holistic approach to compensation and benefits.

Applicants must have a degree in data science, statistics, or a related field. Experience with Python, SQL, and machine learning is required. Strong analytical and problem-solving skills are essential.

What You Will Do:

• Develop and implement data-driven solutions to optimize our logistics and supply chain operations.
• Analyze large datasets to identify trends, patterns, and insights that can improve our processes.
• Collaborate with cross-functional teams to understand business needs and translate them into data science projects.
• Create and maintain data pipelines and ETL processes to support our data analysis efforts.
• Communicate your findings and recommendations to stakeholders in a clear and concise manner.
• Stay up-to-date with the latest advancements in data science and machine learning, and apply this knowledge to our projects.

What You Bring:

• A Master's degree in Data Science, Computer Science, Statistics, or a related field, or equivalent practical experience.
• Proven experience in data analysis, machine learning, and statistical modeling.
• Strong programming skills in Python, R, or a similar language.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with cloud platforms like AWS or Azure is a plus.
• A passion for solving complex problems and a commitment to delivering high-quality results.