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Data Scientist Project Manager Jobs in Dallas, TX

Gartner

Sr Data Scientist

Irving, TX · On-site

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

Gartner

Sr Data Scientist

Irving, TX

In partnership with our PMO and IT organizations, you will help build the AI applications and ... Lead data science projects in close collaboration with IT, Data Engineering, Application ...

Dlapiper

Data Scientist

Dallas, TX · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Hanchey

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

USA The Nature Conservancy

NCS Data Scientist

Arlington, TX · On-site

$62.33 - $103.79/hr

Operate independently with minimal oversight, managing complex scientific projects from concept to delivery. * Work collaboratively and creatively, to efficiently deliver data, analyses, and tools ...

Munich Re

Data Scientist

Arlington, TX · On-site +1

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 ...

Judge Group, Inc.

Data Scientist - IV

Dallas, TX · On-site

Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes Be involved in the design and development of machine learning ...

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Data Scientist - Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview ... Skills & Abilities - Ability to independently manage and deliver on complex projects. - Strong ...

State Farm

Data Scientist

Richardson, TX · Hybrid

Collaborate with other team members on scoping solutions and project decision points * Present on ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Data Scientist - Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview ... Skills & Abilities - Ability to independently manage and deliver on complex projects. - Strong ...

PepsiCo

Data Scientist

Plano, TX · On-site

$80K - $134K/yr

You'll collaborate closely with process owners, product managers, and end-users to ensure your ... Contributing member in a digital project. * Present your findings in a business friendly manner to ...

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All JobsData Scientist Project JobsData Scientist Project Manager JobsData Scientist Project Manager Jobs in Dallas, TX

Data Scientist Project Manager information

See Dallas, TX salary details

$45.5K

$163.2K

$240.9K

How much do data scientist project manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data scientist project manager in Dallas, TX is $163,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,100.00 and $168,200.00 per year, depending on experience, location, and employer.

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 Dallas, TX?

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

What job categories do people searching Data Scientist Project Manager jobs in Dallas, TX look for?

The top searched job categories for Data Scientist Project Manager jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Data Scientist Project Manager jobs?

Cities near Dallas, TX with the most Data Scientist Project Manager job openings:

Data Scientist Project Manager jobs near you

Technical Project Manager Data Engineering Data Science

Plugins Inc

Dallas, TX • On-site

$51.50 - $69.50/hr

Other

Posted 26 days ago

Job description

Technical Project Manager | Data Engineering & Data Science
Location: Dallas, TX  Hybrid (Onsite + Remote)
Employment Type: Full Time / Contract (W2)
Duration: 12+ Months (Ongoing)
Cloud Environment: Amazon Web Services (AWS)
Team Structure: US Onsite Teams and Offshore GCC Teams
We are seeking an experienced Technical Project Manager with strong expertise in Data Engineering and Data Science programs to lead enterprise initiatives within a large commercial airline environment.
In this role, you will coordinate project delivery between onsite leadership in the United States and offshore Global Capability Center (GCC) teams, driving AWS-based Data Engineering, Analytics, and Machine Learning initiatives from planning through successful delivery.
Required Qualifications
Technical Skills
* Experience managing Data Engineering and/or Data Science projects
* Strong understanding of AWS data services: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • Amazon Athena • Amazon SageMaker • AWS Lambda • AWS Step Functions
* Knowledge of ETL/ELT frameworks and modern data pipeline architecture
* Familiarity with Machine Learning lifecycle management
* Experience with Agile delivery methodologies (Scrum or SAFe)
* Experience using Jira, Confluence, or similar project management tools
* Understanding of cloud security, data governance, and data quality best practices

Project Management
* Experience managing complex enterprise technology programs
* Experience coordinating onsite and offshore GCC teams
* Strong skills in project planning, dependency management, risk management, and stakeholder communication
* Ability to communicate technical concepts effectively to executive leadership
Professional Skills
* Excellent verbal and written communication
* Strong organizational and planning abilities
* Ability to manage multiple priorities in a fast-paced environment
* Comfortable working with cross-functional and multicultural teams
Key Responsibilities
Project Delivery
* Lead end-to-end delivery of Data Engineering and Data Science initiatives
* Define project scope, timelines, milestones, and success metrics
* Manage project plans, RAID logs, risk registers, and executive status reporting
* Lead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives
Offshore Team Coordination
* Serve as the primary liaison between onsite stakeholders and offshore GCC teams
* Coordinate work across multiple time zones
* Manage resource planning, priorities, escalations, and delivery governance
* Ensure transparency and accountability across distributed teams

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