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Data Scientist Project Manager Jobs in Missouri (NOW HIRING)

PB consulting

Data Scientist

Saint Louis, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

New

PB consulting

Data Scientist

Riverview, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

New

PB consulting

Data Scientist

University City, MO

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

New

PB consulting

Data Scientist

Florissant, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

New

PB consulting

Data Scientist

Maryland Heights, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

New

PB consulting

Data Scientist

Hazelwood, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

New

PB consulting

Data Scientist

Black Jack, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

New

PB consulting

Data Scientist

Ferguson, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

New

PB consulting

Data Scientist

Marlborough, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

New

PB consulting

Data Scientist

Brentwood, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

New

PB consulting

Data Scientist

Crystal Lake Park, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

New

GRVTY

Senior Data Scientist

Saint Louis, MO

Experience managing multiple projects and technical initiatives simultaneously in a high-tempo ... Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be ...

Intellectix

Data Scientist

Saint Louis, MO · On-site

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required ... Experience with workload managers (SLURM, Argo Workflow, Airflow). * Strong problem-solving and ...

Intellectix

Data Scientist

Saint Louis, MO · On-site

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required ... Experience with workload managers (SLURM, Argo Workflow, Airflow). * Strong problem-solving and ...

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO · On-site

... program managers, project managers, and business analysts. Our trainers have encompassing ... in data science capabilities including data mining, predictive modeling, machine learning ...

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO · On-site

... program managers, project managers, and business analysts. Our trainers have encompassing ... in data science capabilities including data mining, predictive modeling, machine learning ...

GRVTY

Senior Data Scientist

Saint Louis, MO

Experience managing multiple projects and technical initiatives simultaneously in a high-tempo ... Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be ...

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

Experience managing multiple projects and technical initiatives simultaneously in a high-tempo ... Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be ...

Bunge Iberica SA

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

Data Scientist Date: Aug 10, 2026 Location: Chesterfield, MO -Missouri, US, 63017 City ... global risk management. Skill/Experience Requirements: * Minimum MS degree in Economics ...

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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 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.

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.

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 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.

Can a data scientist become a project manager?

A data scientist can transition to a project manager role by developing skills in leadership, communication, and project planning, often supported by certifications like PMP or Agile. Their technical expertise can be valuable in managing data-driven projects, but they typically need to gain experience in managing teams and project workflows.

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 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Data Scientist

PB consulting

Saint Louis, MO • On-site

Full-time

Posted 3 days ago

New

Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities

  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience

  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.

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