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Data Scientist Project Manager Jobs in Texas (NOW HIRING)

Data Scientist

Houston, TX · On-site

$140 - $190/hr

... management challenges. You will develop scalable analytical tools, leverage spatial, property ... Perform other duties and special projects as assigned. We are looking for someone who has:

New

Data Scientist

Plano, TX

$80K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Principal Data Scientist

Arlington, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Manage projects and direct work of more junior team members. * Six (6) or more years of data ...

New

Data Scientist

Houston, TX · On-site

  • Retirement

... Manager to support project-level baseline development. • Develop and apply statistical and machine learning models to identify patterns, outliers, and predictive signals within supply chain data ...

Data Scientist

Austin, TX · On-site

  • Medical

  • Retirement

  • PTO

... project management. Our connected platform of solutions underpins the business and digital ... Master's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a ...

Data Scientist

Westlake, TX · On-site

$150 - $230/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You're comfortable owning the full lifecycle of a project -- from exploratory analysis to building ... Define and drive the vision for data science at Goosehead, identifying transformative opportunities ...

Data Scientist

Austin, TX · On-site

$120 - $170/hr

  • Medical

  • Retirement

  • PTO

... project management. Our connected platform of solutions underpins the business and digital ... The Opportunity Join our team as a Data Scientist in Austin, TX. This position will help integrate ...

Data Scientist

Austin, TX · Hybrid

  • Medical

  • Retirement

  • PTO

... project management. Our connected platform of solutions underpins the business and digital ... Master's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a ...

As a Data Scientist, you will apply strong expertise through the use of machine learning, data ... Implement CI/CD pipelines and manage code repositories using GitHub Enterprise. * Design and ...

Data Scientist

Austin, TX · On-site

$101K/yr

Designs, develops and performs data scientist responsibilities in conjunction with NXP's global ... Position requires knowledge gained via completion of a university-level course, research project ...

New

Data Scientist

Austin, TX · On-site

$101K/yr

Designs, develops and performs data scientist responsibilities in conjunction with NXP's global ... Position requires knowledge gained via completion of a university-level course, research project ...

New

Lead Data Scientist

Austin, TX · On-site

$120 - $170/hr

... can manage their money and make everyday purchases. With a nationwide U.S. retail network ... Serve as the principal technical lead on significant data science projects. Determine the ...

The Senior Data Scientist will lead the data science and AI roadmap, develop advanced machine ... project management and time management capability. • Self-directed and comfortable working with ...

Support project planning, technical documentation, and knowledge sharing Experience & Education ... Proficiency in managing and interpreting large datasets * Experience with machine learning ...

Data Scientist

Austin, TX · On-site

$101K/yr

Designs, develops and performs data scientist responsibilities in conjunction with NXP's global ... Position requires knowledge gained via completion of a university-level course, research project ...

Data Scientist

Plano, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work independently and drive your own projects. Qualifications * 3-4 years of industry experience in data science and marketing field * Strong understanding of statistical modeling, machine learning ...

Data Scientist- Manager

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization * Collaborate closely with product managers, audit ...

... Manager to support project-level baseline development. Develop and apply statistical and machine learning models to identify patterns, outliers, and predictive signals within supply chain data ...

Showing results 41-60

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

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

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

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

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

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

Infographic showing various Data Scientist Project Manager job openings in Texas as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Data Scientist

Doist

Houston, TX • On-site

$140 - $190/hr

Other

Posted 3 days ago

New


Job description

Overview: If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join our team. In this role, you will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges. You will develop scalable analytical tools, leverage spatial, property, policy and claims data, automate complex workflows, and work within a cross‑functional team – including Product Development, Underwriting, Cat Modeling, Data and Risk Management – to support profitable growth. The ideal candidate enjoys solving difficult business problems through data science, thrives working with large and complex datasets, and has experience applying technologies alongside modern analytics and AI techniques.

What you’d be doing:
  • Deliver analytical insights that support business decisions as a member of a cross‑functional team – including Product Development, Underwriting, Cat Modeling, Data and Risk Management.
  • Design and develop statistical, geospatial, and machine learning models that improve underwriting performance and portfolio management.
  • Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk, and business opportunities.
  • Execute predictive analytics, machine learning, and AI models that support pricing, underwriting, and operational efficiency.
  • Apply statistical techniques including regression, clustering, classification, time series analysis, and causal inference to solve business problems.
  • Support building software applications and analytical tools that automate underwriting and risk analysis.
  • Build reusable data pipelines and automate data collection, cleansing, transformation to support underwriting, product development and risk management.
  • Design and maintain geospatial datasets using internal and third‑party data sources.
  • Develop software applications and APIs that support underwriting analytics and business decision making.
  • Mentor junior team members and promote best practices for AI use within the department.
  • Perform other duties and special projects as assigned.
We are looking for someone who has:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Geographic Information Systems (GIS), Engineering, Information Science, or a related quantitative discipline.
  • 5 to 7 years of experience in data science, analytics, software development, or geospatial analytics.
  • Experience with statistical modeling techniques and building predictive models using Python, SAS or R, and strong statistical modeling techniques.
  • Experience developing solutions using SQL and relational databases.
  • Experience working with large structured and unstructured datasets.
  • Experience using GIS platforms such as ESRI ArcGIS, ArcGIS Pro, ArcObjects, or equivalent geospatial technologies.
  • Experience developing automated data processing and analytical workflows.
  • Experience building software applications or analytical tools that support business operations.
  • Strong problem-solving and communication skills.
Highly preferred candidates also have:
  • Experience in Property & Casualty insurance.
  • Familiarity with catastrophe models and exposure management.
  • Experience with geospatial statistics and spatial modeling.
  • Experience with AI and Generative AI technologies.
  • Experience with C#, .NET, or software engineering principles.
About SageSure:

Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe‑exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.

We have more than 1,000 employees in a distributed workforce environment across 12 offices—Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI—who are tackling the industry’s toughest challenges.

SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work. Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets.

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