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Data Science Project Manager Jobs in Missouri (NOW HIRING)

GDIT

Data Science Analyst

Saint Louis, MO

$133K - $180K/yr

Data Management, Metadata Standards, Visualization Certifications: None Experience: 5 + years of related experience US Citizenship Required: Yes We are seeking a Data Science Analyst/Engineer to join ...

New

Boeing

Data Science and Analytics Manager

Hazelwood, MO · On-site

$141K - $190K/yr

Experience leading projects Preferred Qualifications (Desired Skills/Experience): * Experience working in the field of data-science * Prior experience managing people Conflict of Interest: Successful ...

Boeing

Data Science and Analytics Manager

Hazelwood, MO · On-site

$141K - $190K/yr

Experience leading projects Preferred Qualifications (Desired Skills/Experience): * Experience working in the field of data-science * Prior experience managing people Conflict of Interest: Successful ...

Boeing

Data Science and Analytics Manager

Hazelwood, MO · On-site

$141K - $190K/yr

Experience leading projects Preferred Qualifications (Desired Skills/Experience): * Experience working in the field of data-science * Prior experience managing people Conflict of Interest: Successful ...

Walmart

(USA) Director, Data Science

Cassville, MO · On-site

$130K - $260K/yr

Proven leadership skills in mentoring teams and managing cross-functional collaboration ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

Proven leadership skills in mentoring teams and managing cross-functional collaboration ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

Proven leadership skills in mentoring teams and managing cross-functional collaboration ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Jobtailor

Data Scientist

California, MO · On-site

$90 - $130/hr

Participate in Agile project teams and support delivery of digital and analytics initiatives ... Experience applying data science, analytics, or statistical methods to solve business problems.

SwiftCruit

Scientist III, Data Sciences

Saint Louis, MO · On-site

$110 - $165/hr

Data Science, Computer Science, Statistics, Mathematics, or related quantitative field * Advanced ... Excellent project management and organizational abilities * Willingness to stay current with ...

New

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO · On-site

... program managers, project managers, and business analysts. Our trainers have encompassing ... Master's degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics ...

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO

... program managers, project managers, and business analysts. Our trainers have encompassing ... Master's degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics ...

Walmart

(USA) Director, Data Science

Noel, 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 ...

Inland Empire Health Plan

Data Scientist II

California, MO · On-site

$118.60 - $157.14/hr

Under the direction of the Manager, Data Science, the Data Scientist II is responsible for modeling ... Lead and drive cross-functional data science projects from beginning to end, which include building ...

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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 Science Analyst

GDIT

Saint Louis, MO

$133K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 223 rated it services

Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret/SCI

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Management, Metadata Standards, Visualization

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile (MAP) that aligns attributes from various Data Stores into a Search & Retrieval System, enabling discovery of imagery and data for analysis.

This position focuses on metadata maintenance activities for the integration of metadata between systems and the associated API to enable discovery of data across the Enterprise and the Intelligence Community.

Duties:

  • Work closely with the Lead Data Engineer to build and maintain theMAP, assess metadata quality, plan and coordinate metadata enhancement and remediation.
  • Determine/monitor MAP accuracy by conducting queries against data holdings in native systems and using the System User Interface (UI), API, Postgres and Elasticsearch database applications.
  • Support Systems Engineers and Software Developers by creating design documents for new Data Stores which identify the metadata fields, service specifications, volumetrics and standards needed to integrate into the Search and Discovery System.
  • Maintain an ongoing working relationship with government data stewards and system Data Store owners to inform end-user satisfaction and to keep abreast of attribute changes.
  • Investigate and respond to tickets/issues associated with metadata discrepancies or mapping.

Required:

  • At least 5 years of experience with data management, transformation, visualization, analysis, metadata standards, and organization techniques and tools.
  • At least 5 years of experience with search tools, search results organization and the implications of metadata organization, indexing and catalog content.
  • Bachelor's degree in systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Business, Management Information Systems, or related STEM degree program, or an additional 4 years of related data/systems engineering experience.
  • MS Degree and 10+ years of relevant experience
  • Excellent communication, analytical, problem solving, and organizational skills with the ability to present information and ideas clearly and concisely.
  • Strong technical skills, interest in technology, and the ability to troubleshoot simple technology problems, failures, or deficiencies.
  • Excellent skills with Microsoft office tools (Excel, PowerPoint, Notepad++)
  • Certifications: Security +, Network+, or A+ are preferred. Ability to obtain one of these certifications within 6 months of start date if not currently in hand.
  • Clearance Required: Active TS/SCI clearance with CI Poly

Desired:

  • At least 5 years of experience with customer imagery and data repositories, products, data types, and uses.
  • Knowledge and at least 5 years of experience with GIS-related applications and tools.
  • Comfortable with:
    • Postgres and Elasticsearch (build queries, analyze results)
    • GitLab (review code, recommend data remediation changes)
    • Openshift Container Platform (OCP) (approve merge requests)
    • Working in an Agile Software Development environment

Location: Company Site

US Citizenship Required


GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $133,450 - $180,550. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA Springfield

Additional Work Locations:

USA MO St. Louis

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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