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Data Science Project Manager Jobs in Missouri (NOW HIRING)

Brewer Science

Data Scientist

Rolla, MO · On-site

Responsibilities : • Work with diverse data from a wide range of projects across the business ... projects. Company : Brewer Science is a developer and manufacturer of semiconductors and ...

Walmart

(USA) Director, Data Science

Cassville, MO · On-site

$130K - $260K/yr

This leader will manage a high-performing team of Data Scientists and Machine Learning Engineers responsible for building AI and ML products that improve pricing decisions, customer value, and ...

Walmart

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

This leader will manage a high-performing team of Data Scientists and Machine Learning Engineers responsible for building AI and ML products that improve pricing decisions, customer value, and ...

Kohl's

Document projects, including business objectives, data gathering and processing, leading approaches ... Remain current on the latest trends and developments in data science and technology through self ...

Apidel Technologies

Project Manager

Saint Louis, MO

... science projects Lead project workstreams within large and/or complete projects, ensuring ... manage, and mitigate project risks; implement solutions and escalate unresolved issues in a timely ...

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

... manage multiple concurrent projects while collaborating with multidisciplinary teams across the Intelligence Community. You will provide technical leadership in the application of modern data science ...

Reply

Manager, Data Engineering

Kansas City, MO

... data science projects while liaising with clients to meet their needs * Providing leadership ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Walmart

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

Champion a high-performing culture, managing and mentoring a talented team of data scientists, machine learning engineers and software engineers. * Collaborate Cross-Functionally: Partner closely ...

Reply

Manager, Data Engineering

Kansas City, MO · On-site

... data science projects while liaising with clients to meet their needs * Providing leadership ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Walmart

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

Champion a high-performing culture, managing and mentoring a talented team of data scientists, machine learning engineers and software engineers. * Collaborate Cross-Functionally: Partner closely ...

Walmart

(USA) Director, Data Science

Cassville, MO · On-site

$130K - $260K/yr

Champion a high-performing culture, managing and mentoring a talented team of data scientists, machine learning engineers and software engineers. * Collaborate Cross-Functionally: Partner closely ...

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All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Missouri

Data Science Project Manager information

See Missouri salary details

$15

$53

$75

How much do data science project manager jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data science project manager in Missouri is $53.94, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $63.12 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

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

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.
What are popular job titles related to Data Science Project Manager jobs in Missouri? For Data Science Project Manager jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Missouri look for? The top searched job categories for Data Science Project Manager jobs in Missouri are:
Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Missouri as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $112,201 per year, or $53.9 per hour.

Data Scientist

Brewer Science

Rolla, MO • On-site

Full-time

Re-posted 4 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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