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Remote Data Scientist Machine Learning Jobs in Richardson, TX

Associate Data Scientist

Irving, TX ยท On-site +1

$56K - $57K/yr

Stay current on advancements in machine learning, Generative AI, and agentic systems, bringing new ... What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics ...

Sr Machine Learning Engineer

Irving, TX ยท On-site +1

$112K - $185K/yr

Collaborate with data scientists and software developers to refine model requirements and translate ... Remote work permitted but must live within commuting distance of designated office location and ...

Machine Learning Tutor

Carrollton, TX ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Dallas, TX ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Grand Prairie, TX ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Plano, TX ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Arlington, TX ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Irving, TX ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Fort Worth, TX ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Allen, TX ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Mckinney, TX ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Sr Data Scientist GenAI

Dallas, TX ยท On-site +1

$150K - $210K/yr

... Machine Learning or related field. - Experience with multimodal models (vision + text) or emerging ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Clinical Data Scientist

Irving, TX ยท On-site +1

$140K - $145K/yr

Continuously learning and adapting to new tools, technologies, and methodologies in data science to ... Position is performed in a general office environment, home office, or approved remote workspace ...

You will lead a small, high-performing team of data scientists and machine learning engineers, dividing your time between coaching and developing talent and personally contributing to the most ...

You will lead a small, high-performing team of data scientists and machine learning engineers, dividing your time between coaching and developing talent and personally contributing to the most ...

Lead Machine Learning Engineer

Plano, TX ยท On-site +1

$98K - $130K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ...

Lead Machine Learning Engineer

Plano, TX ยท On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ...

Showing results 21-40

Remote Data Scientist Machine Learning information

See Richardson, TX salary details

$34.1K

$111.5K

$178.4K

How much do remote data scientist machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data scientist machine learning in Richardson, TX is $111,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $123,500.00 per year, depending on experience, location, and employer.

What does a remote data scientist specializing in machine learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in machine learning?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

What are popular job titles related to Remote Data Scientist Machine Learning jobs in Richardson, TX?

For Remote Data Scientist Machine Learning jobs in Richardson, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Machine Learning jobs in Richardson, TX look for?

The top searched job categories for Remote Data Scientist Machine Learning jobs in Richardson, TX are:

What cities near Richardson, TX are hiring for Remote Data Scientist Machine Learning jobs?

Cities near Richardson, TX with the most Remote Data Scientist Machine Learning job openings:

Associate Data Scientist

Gartner

Irving, TX โ€ข On-site, Remote

$56K - $57K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Design and implement Large Language Model (LLM)-based agents that synthesize information and automate business workflows.

  • Apply NLP and Generative AI techniques to derive actionable insights from structured and unstructured data.

  • Build recommendation solutions, such as prospect interest prediction and personalized outreach recommendations, to enhance prospecting effectiveness.


Job description

About this role:

We are seeking a talented Associate Data Scientist to join the Marketing Technology team within GSSO. In this role, you will build AI-powered solutions that accelerate Sales and Marketing productivity. You will partner with Product Owners, engineers, and data scientists to transform prospecting for Gartner's 7,000+ sales associates. Beyond model development, you will help shape Gartner's next generation of AI solutions through experimentation, prompt engineering, agentic workflows, and intelligent recommendations that drive measurable business outcomes.

What you will do:

  • Design and implement Large Language Model (LLM)-based agents that synthesize information and automate business workflows.

  • Apply NLP and Generative AI techniques to derive actionable insights from structured and unstructured data.

  • Design, test, and optimize prompts, retrieval strategies, and agent workflows to improve AI performance and scalability.

  • Build recommendation solutions, such as prospect interest prediction and personalized outreach recommendations, to enhance prospecting effectiveness.

  • Rapidly prototype AI capabilities, evaluate business impact, and help transition successful pilots into production.

  • Partner with Product Managers, business stakeholders, and engineers to translate business needs into scalable solutions.

  • Stay current on advancements in machine learning, Generative AI, and agentic systems, bringing new ideas and best practices to the team.

What you will need:

  • BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field.

  • 1+ years of experience applying data science and machine learning techniques through professional work, internships, or research.

  • Experience with Python, SQL, statistical analysis, and databases.

  • Curiosity and a growth mindset, with a strong interest in Generative AI and machine learning.

  • Strong problem-solving skills and the ability to work independently in ambiguous environments.

  • Ability to communicate technical concepts and connect solutions to business outcomes.

  • Experience with prompt engineering, retrieval techniques, model evaluation, or agent orchestration is a plus.

  • Collaborative, inclusive, and respectful team player.

  • Proven ability to manage tasks end-to-end and meet deadlines

  • Detail-oriented with strong organizational skills and innovative mindset.

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-KR4

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 90,000 USD - 118,000 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:109825

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