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Master Science Jobs in Dallas, TX (NOW HIRING)

Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required. * Proven leadership developing personalization systems, recommendation engines, search/ranking ...

Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. • 5-7 years of professional ...

Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. • 5-7 years of professional ...

Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. • 5-7 years of professional ...

A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. * 5-7 years of professional experience in data ...

A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. * 5-7 years of professional experience in data ...

A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. * 5-7 years of professional experience in data ...

A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. * 5-7 years of professional experience in data ...

Showing results 41-60

Master Science information

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$12

$57

$80

How much do master science jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for master science in Dallas, TX is $57.40, according to ZipRecruiter salary data. Most workers in this role earn between $48.99 and $65.38 per hour, depending on experience, location, and employer.

What can I do with a master science degree?

A Master of Science degree prepares graduates for roles in research, data analysis, engineering, healthcare, and technology fields. It often qualifies individuals for advanced positions, requires proficiency in tools like statistical software, and may involve completing internships or certifications to enhance employability.

What are the key skills and qualifications needed to thrive as a Master of Science graduate, and why are they important?

To thrive as a Master of Science graduate, you need advanced analytical skills, subject-specific expertise, and a relevant master's degree in your chosen field. Familiarity with specialized software, laboratory equipment, or data analysis tools—such as MATLAB, SPSS, or GIS—may be required depending on your discipline. Strong problem-solving abilities, critical thinking, and effective communication set exceptional candidates apart. These skills and qualifications are vital for tackling complex challenges, producing high-quality research, and contributing meaningfully to scientific or technical advancements.

What are some common challenges faced by master science professionals when managing interdisciplinary research projects?

Professionals in Master Science roles often oversee complex projects that require collaboration across multiple scientific disciplines. A common challenge is ensuring effective communication among team members who may have different technical backgrounds and terminologies. Additionally, balancing project timelines and coordinating data integration from various sources can be demanding. Master Science professionals must also stay updated on advances in their field to effectively guide research direction and maintain project relevancy.

What jobs can I do with a Master of Science?

A Master of Science degree qualifies individuals for roles such as research scientist, data analyst, laboratory manager, or technical specialist in fields like engineering, biology, chemistry, or computer science. These positions often require strong analytical skills, proficiency with specialized tools, and sometimes certifications or lab experience.

What is a master science?

A Master Science job typically refers to a position requiring an advanced degree (Master of Science, or MSc) in a specific scientific discipline. These jobs span various fields such as engineering, healthcare, data science, and research. Holders of an MSc often work in specialized roles involving research, analysis, technical development, or teaching. Their expertise allows them to contribute to innovation, problem-solving, and advancements in their respective fields.

What is the difference between Master Science vs Bachelor Science?

AspectMaster ScienceBachelor Science
Required CredentialsMaster's degree in scienceBachelor's degree in science
Work EnvironmentResearch labs, academia, industryEntry-level roles, internships, support positions
Employer & Industry UsageAdvanced research, specialized rolesFoundational roles, general positions
Common Search & ComparisonHigher qualification, specializationEntry-level, undergraduate

The main difference between Master Science and Bachelor Science lies in the level of education and expertise. A Master Science degree provides advanced knowledge and qualifies individuals for specialized roles in research and industry, while a Bachelor Science degree is typically the foundational qualification for entry-level positions. Both degrees are used across similar work environments, but the Master Science opens doors to more advanced opportunities.

What are Master of Science degrees?

A Master of Science (MS or MSc) is a postgraduate academic degree awarded in fields related to science, technology, engineering, mathematics, and some social sciences. These programs typically focus on scientific, analytical, or technical subjects and emphasize research, practical skills, and theoretical knowledge. Earning an MS degree usually takes one to two years of full-time study after a bachelor's degree. Graduates often pursue careers in research, industry, or continue their education with a doctoral program.
What are the most commonly searched types of Master Science jobs in Dallas, TX? The most popular types of Master Science jobs in Dallas, TX are:
What are popular job titles related to Master Science jobs in Dallas, TX? For Master Science jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Master Science jobs in Dallas, TX look for? The top searched job categories for Master Science jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Master Science jobs? Cities near Dallas, TX with the most Master Science job openings:
Infographic showing various Master Science job openings in Dallas, TX as of August 2026, with employment types broken down into 76% Full Time, 13% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,388 per year, or $57.4 per hour.

Director, Data Science

Gartner

Irving, TX • Remote

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Job description

About the Role
This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with Gartner to unlock value. Our clients are IT and business leaders worldwide, relying on the platform embedded in their workflows for critical priorities. Our mission is to accelerate innovation through intelligent digital products that disrupt the market and ourselves - constantly seeking data science leaders to champion this vision.

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and business outcomes.

What You Will Do

  • Lead the data science roadmap spanning personalization, recommendation systems, and GenAI chatbot development, owning strategy for user profiling, content matching, ranking, conversational AI, and next-best-action systems.
  • Architect AI-powered chatbot systems including intelligent search, recommendation engines, context-aware retrieval, and Model Context Protocol (MCP) servers for seamless AI agent integration with enterprise systems and external tools.
  • Apply transformer-based models, LLMs, and advanced techniques to enhance recommendation relevance, search optimization, user personalization, and scalable GenAI solutions.
  • Leverage internal and external data to model client company priorities, competitive landscapes, engagement signals, and deliver targeted support.
  • Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value.
  • Lead a team of data scientists, driving enhancements in accuracy, coverage, latency, scalability, stability, and adoption while maintaining strong MLOps practices.
  • Translate quantitative analysis into actionable strategies, pitch high-impact ideas, and influence senior leadership on long-term vision and solution roadmaps.
  • Stay current on fast-moving AI/ML advancements, particularly LLMs, conversational AI, agentic systems, and transformer architectures.

What You Will Need

  • 8-12 years of experience in data science, machine learning, or AI, with at least 3 years managing data science and engineering teams.
  • Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.
  • Proven leadership developing personalization systems, recommendation engines, search/ranking solutions, conversational AI, chatbots, and GenAI applications powered by transformer-based models and LLMs.
  • Demonstrated success translating business priorities into technical roadmaps, driving cross-functional execution, and delivering production ML systems with clear business impact.
  • Strong communication skills to influence executives, translating complex analysis into compelling strategies and value propositions.
  • Deep expertise in ML lifecycle, Lean product principles, MLOps, experimentation frameworks, and production recommender/GenAI systems.
  • Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face, LangChain), SQL/relational databases (Oracle), NoSQL/graph databases (MongoDB), vector databases (Pinecone, Weaviate), distributed ML (Spark), Linux/shell scripting, and cloud platforms (AWS SageMaker, Azure ML).
  • Working experience in: Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures.
  • Collaborative leader who thrives in feedback-driven cultures with bias for action and client outcomes.

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 122,000 USD - 168,000 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:108588

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