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Machine Learning Research Scientist Jobs in Dallas, TX

Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable ... Research and Innovation Stay at the forefront of emerging AI and machine learning technologies.

... products, translating research outcomes into measurable platform impact. This list of ... D. preferred) in Computer Science, Machine Learning, or a closely related field. * Extensive ...

Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable ... Research and Innovation Stay at the forefront of emerging AI and machine learning technologies.

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Collaborate with data scientists to deploy models using tools such as MLflow, AutoML, Unity Catalog ... Research emerging technologies and recommend enhancements to machine learning delivery, including ...

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Collaborate with data scientists to deploy models using tools such as MLflow, AutoML, Unity Catalog ... Research emerging technologies and recommend enhancements to machine learning delivery, including ...

AI Research Scientist- Senior Associate

Dallas, TX · On-site

$97K - $124K/yr

KPMG is currently seeking an AI Research Scientist to join our Audit Technology Alliance ... NLP, machine learning, or a related field * Bachelor's degree from an accredited college or ...

Collaborate with data engineers, data scientists, product owners, and business stakeholders to translate business requirements into technical solutions. * Develop, evaluate, and tune machine learning ...

Collaborate with data engineers, data scientists, product owners, and business stakeholders to translate business requirements into technical solutions. * Develop, evaluate, and tune machine learning ...

Collaborate with data engineers, data scientists, product owners, and business stakeholders to translate business requirements into technical solutions. * Develop, evaluate, and tune machine learning ...

Showing results 41-60

Machine Learning Research Scientist information

See Dallas, TX salary details

$50K

$128.7K

$172.1K

How much do machine learning research scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning research scientist in Dallas, TX is $128,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $171,100.00 per year, depending on experience, location, and employer.

What is a machine learning research scientist?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What does a machine learning research scientist do?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What are the key skills and qualifications needed to thrive as a machine learning research scientist?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are the most commonly searched types of Machine Learning Research Scientist jobs in Dallas, TX?

The most popular types of Machine Learning Research Scientist jobs in Dallas, TX are:

What are popular job titles related to Machine Learning Research Scientist jobs in Dallas, TX?

For Machine Learning Research Scientist jobs in Dallas, TX, the most frequently searched job titles are:

What cities near Dallas, TX are hiring for Machine Learning Research Scientist jobs?

Cities near Dallas, TX with the most Machine Learning Research Scientist job openings:

Infographic showing various Machine Learning Research Scientist job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,716 per year, or $61.9 per hour.

AVP, Machine Learning & Modeling

Vizient, Inc.

Irving, TX • On-site

$156K - $290K/yr

Full-time

Posted 16 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
In this role, you will lead the design, development, and implementation of advanced analytics, statistical modeling, and artificial intelligence solutions to drive data-informed decision-making across the enterprise. Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable solutions that support strategic business objectives, operational excellence, and client value creation. Serve as a key thought leader, guiding the organization's data science strategy, ensuring model governance and compliance, and advancing the use of cutting-edge machine learning methodologies.
Role Responsibilities:
Strategic Leadership and Vision
Provide strategic direction for the organization's machine learning and modeling initiatives. Develop and execute a roadmap for data-driven innovation aligned with corporate goals and emerging technologies in AI, predictive analytics, and optimization.
Model Development and Deployment
Oversee the design, development, and validation of statistical, econometric, and machine learning models that support forecasting, risk assessment, operational efficiency, and client performance improvement. Ensure model accuracy, interpretability, and ethical use of data.
Model Governance and Compliance
Establish and maintain robust model governance frameworks, including documentation, version control, validation, and ongoing performance monitoring. Partner with risk management and compliance teams to ensure adherence to regulatory and ethical standards.
Team Development and Leadership
Lead and mentor a multidisciplinary team of data scientists, ML engineers, and quantitative analysts. Foster a culture of innovation, continuous learning, and collaboration while ensuring alignment with business priorities and project timelines.
Cross-Functional Collaboration
Collaborate with business leaders, IT, and analytics stakeholders to identify opportunities for data science applications that drive measurable business outcomes. Translate complex analytical results into actionable insights for executive decision-making.
Research and Innovation
Stay at the forefront of emerging AI and machine learning technologies. Evaluate and integrate new tools, frameworks, and methodologies to enhance model performance and scalability. Promote experimentation and best practices in applied data science.
Requirements:
  • Bachelors or Masters or Doctorate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Economics, or a related quantitative field preferred
  • Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression, time series, NLP, ensemble methods, neural networks).
  • Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms (AWS SageMaker, Azure ML, Databricks, etc.)
  • Knowledge of ML Ops, model governance, and lifecycle management best practices.
  • Demonstrated ability to translate business problems into analytical frameworks and deliver measurable outcomes.
  • Excellent leadership, communication, and stakeholder management skills, with the ability to present complex findings to non-technical audiences.
  • Proven experience building and leading high-performing data science teams in a large, matrixed organization.
  • Familiarity with healthcare, financial, or operational analytics.

Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $156,500.00 to $290,100.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.