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Data Scientist Project Manager Jobs in Missouri (NOW HIRING)

Brewer Science

Data Scientist

Rolla, MO · On-site

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor ... Responsibilities : • Work with diverse data from a wide range of projects across the business ...

Munich Re

Data Scientist

Kansas City, MO · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and project manage modeling projects and statistical analyses. * Effectively communicate ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Biomerieux

Sr. Data Scientist

Hazelwood, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Coordination as a project team member with marketing, project management, quality analytics, manufacturing, regulatory and other functional areas will be required. The Data Scientist is expected to ...

bioMérieux

Sr. Data Scientist

Hazelwood, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Coordination as a project team member with marketing, project management, quality analytics, manufacturing, regulatory and other functional areas will be required. The Data Scientist is expected to ...

InvestedintheMission

Lead Data Scientist

California, MO · On-site

$130 - $200/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Critical-path data science projects * 20% : Partnering with Engineers, PMs, DaaS operational leads, and Finance What You'll Do * Own Generative AI Analytics: Build and maintain end-to-end infra ...

BioFire Diagnostics

Sr. Data Scientist

Hazelwood, MO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Coordination as a project team member with marketing, project management, quality analytics, manufacturing, regulatory and other functional areas will be required. The Data Scientist is expected to ...

bioMerieux

Sr. Data Scientist

Hazelwood, MO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Coordination as a project team member with marketing, project management, quality analytics, manufacturing, regulatory and other functional areas will be required. The Data Scientist is expected to ...

Jobtailor

Data Scientist

California, MO · On-site

$90 - $130/hr

Participate in Agile project teams and support delivery of digital and analytics initiatives ... Understanding of data governance, data quality, and data management principles. * Familiarity with ...

W. R. Berkley Corporation

Senior Data Scientist

Glenallen, MO · On-site

$150 - $200/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsibilities We are seeking an exceptional Senior Data Scientist who is part deep technologist ... management requirements. * Contributions to open‑source ML projects. * Experience building and ...

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All JobsData Scientist Project JobsData Scientist Project Manager JobsData Scientist Project Manager Jobs in Missouri

Data Scientist Project Manager information

What are the key skills and qualifications needed to thrive as a data scientist project manager?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a data scientist project manager?

A data scientist can become a data scientist project manager by developing leadership, communication, and project management skills, often through experience and certifications like PMP or Agile. Transitioning typically involves gaining experience in managing projects and teams while maintaining technical expertise in data analysis and modeling.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

What are popular job titles related to Data Scientist Project Manager jobs in Missouri?

For Data Scientist Project Manager jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Data Scientist Project Manager jobs in Missouri look for?

The top searched job categories for Data Scientist Project Manager jobs in Missouri are:

What cities in Missouri are hiring for Data Scientist Project Manager jobs?

Cities in Missouri with the most Data Scientist Project Manager job openings:

Data Scientist Project Manager jobs near you
Infographic showing various Data Scientist Project Manager job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Scientist

Brewer Science

Rolla, MO • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor / microelectronics markets. They are currently seeking a purpose-driven candidate to fill an open position as a Data Scientist, responsible for working cross functionally to assist in data collection plans, analyze and model data, and create actionable plans to optimize revenue streams.
Responsibilities:
• Work with diverse data from a wide range of projects across the business unit.
• Perform data cleaning and manipulation to prepare datasets for analysis using techniques such as standardization and decomposition.
• Perform exploratory data analysis to identify correlations, data integrity issues, and missing data.
• Analyze large datasets to generate insights and identify patterns, working under guidance from senior data scientists.
• Communicate data findings and suggest potential improvements to analyses and approaches.
• Automate ETL (extract, transform, load) processes and monitor their performance.
• Collaborate with scientists to understand data requirements and provide analysis support.
• Develop basic statistical visualizations to highlight multi-dimensional correlations within data.
• Seek feedback from senior team members and business groups for improving data analysis processes.
• Perform exploratory data analysis to uncover insights, anomalies, and correlations from complex datasets.
• Automate and enhance existing data analysis pipelines and ensure quality control throughout the process.
• Code as necessary in support of statistical consulting, maintaining organized documentation of code, encouraging other’s documentation of code, and troubleshooting other’s code.
• Design, develop, and optimize advanced statistical models and machine learning (ML) and/or artificial intelligence (AI) algorithms.
• Apply and integrate a variety of data pre-processing techniques to improve data quality and analysis outcomes.
• Participate in cross-functional teams to identify opportunities for process improvement and data-driven decision-making.
• Conduct detailed analysis and help develop strategies to improve data accuracy and integrity.
• Provide support to junior data scientists and assist in mentoring them in analysis techniques and tools.
• Develop clear, visual reports that effectively communicate complex data findings to non-technical stakeholders.
Qualifications:
Required:
• Applicants must be authorized to work for any employer in the U.S.
• Bachelor’s degree in statistics, computer science, mathematics, or relevant field for Data Scientist I.
• Experience with SQL or similar language preferred for Data Scientist I.
• Intermediate Python skills or similar language preferred for Data Scientist I.
• Background in data analysis, parsing, and manipulation for Data Scientist I.
• An equivalent combination of education and related experience for Data Scientist I.
• Bachelor’s Degree in Statistics, Computer Science, Mathematics, or relevant STEM field for Data Scientist II.
• 2+ years of data querying experiences such as SQL or similar language for Data Scientist II.
• An equivalent combination of education and related experience for Data Scientist II.
Preferred:
• A master's degree is preferred for Data Scientist II.
• Applicants are encouraged to submit a link to their GitHub profile showcasing relevant projects.
Company:
Brewer Science is a developer and manufacturer of semiconductors and microelectronic devices. Founded in 1981, the company is headquartered in Rolla, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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