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Data Scientist Project Manager Jobs in Texas (NOW HIRING)

Join our fast-growing Global Product Management Data Science team and help transform Gartner ... Lead data science projects in close collaboration with Data Engineering, Application development ...

Join our fast-growing Global Product Management Data Science team and help transform Gartner ... Lead data science projects in close collaboration with Data Engineering, Application development ...

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 ...

Responsibilities : • Lead data science projects in close collaboration with Data Engineering ... Gartner provides fact-based consulting services, helping clients use and manage IT to enhance ...

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Demonstrated ability to work autonomously, manage projects, and make key decisions with minimal ...

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.

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Demonstrated ability to work autonomously, manage projects, and make key decisions with minimal ...

... projects, understanding analytics goal and working with ill-defined datasets • Communicating ... Management - Knowledge - Software Construction - Knowledge - Software Engineering Economics ...

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Demonstrated ability to work autonomously, manage projects, and make key decisions with minimal ...

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

Lead Data Scientist Location: Houston, TX Job Type: Permanent Full Time Job Mode: 100% Onsite ... Exhibits strong project management skills, with an ability to work independently on multiple ...

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

The Senior Data Scientist will act as a technical leader, mentoring the Data Science team and ... manage projects, and make key decisions with minimal guidance. • Ability to lift 20 lbs. of files ...

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 ...

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Data Scientist Project Manager information

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of expertise, certifications, and sometimes leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Data Scientist Project Manager, and why are they important?

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.

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.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Experience in managing data projects and understanding business goals can facilitate this transition, often supported by certifications like PMP or Agile methodologies.

What is the hottest job of the 21st century?

Data Scientist Project Managers are in high demand due to the growth of data-driven decision making. They combine technical skills in data analysis with project management expertise to lead complex analytics initiatives, often requiring knowledge of tools like Python, R, and cloud platforms. The role is considered one of the most sought-after careers in the 21st century for its impact and versatility.

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.

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.

Is 40 too late for data science?

For a Data Scientist Project Manager, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant certifications, programming skills, and domain knowledge, making age less of a barrier than skill set and adaptability.
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 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 July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution.
Sr. Data Scientist

Sr. Data Scientist

Gartner

Irving, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

About the role:

Join our fast-growing Global Product Management Data Science team and help transform Gartner's Client Experience Digital Platform-the essential destination for IT and business leaders worldwide. As a data scientist, you'll leverage advanced analytics and machine learning to create intelligent, scalable solutions that deliver real value and enhance every step of our clients' journey.

In this role, you will lead complex data science projects in partnership with cross-functional teams, driving the development of advanced AI-powered chatbot systems that deliver intelligent, personalized experiences at scale. You'll architect and implement cutting-edge conversational AI tools-including intelligent search, recommendation engines, and context-aware content systems-while ensuring seamless integration with enterprise platforms.

What you will do
  • Lead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities
  • Architect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scale
  • Design and implement advanced tools that power conversational AI capabilities, including intelligent search, recommendation engines, and context-aware content retrieval systems
  • Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools
  • Build user profiling and personalization models to deliver tailored chatbot experiences
  • Be accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption
  • Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability
  • Leverage internal and external data to understand client's company-level priorities and deliver targeted support
  • Collaborate with senior leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives
  • Pitch ideas, present solutions, and influence senior leaders and executive stakeholders with strong business value propositions
  • Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems
  • Collaborate with engineering and product teams to launch MVPs and iterate quickly
  • Independently plan and drive complex data science projects that deliver measurable business value
  • Mentor junior data scientists on chatbot development, LLM applications, and best practices
What you will need
  • 6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact
  • Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required
  • Strong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies and influence executive leadership
  • Working experience in some of the following data science areas:
    • Large Language Models (LLMs) and Generative AI
    • Conversational AI, chatbot development, and dialogue systems
    • Natural Language Processing and text mining
    • Search and Recommendation systems
    • Prompt engineering, LLM fine-tuning, and model optimization
    • AI agent architectures and orchestration
  • Strong familiarity with Model Context Protocol (MCP) and building tools for AI agents
  • Deep understanding of Lean product principles, software development lifecycle, and machine learning life cycle
  • Practical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systems
  • Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting
  • Experience with cloud computing services such as AWS or Azure ML
  • Strong ability to work collaboratively across product, data science and technical stakeholders with experience mentoring data scientists
  • Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone
  • Bias for action and client outcome oriented
What you will get
  • Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
  • Collaborative, team-oriented culture that embraces diversity
  • Professional development and unlimited growth opportunities

#LI-CW4

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 113,000 USD - 147,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email toApplicantAccommodations@gartner.com.

Job Requisition ID:106861

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