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Learning Scientist Jobs in Texas (NOW HIRING)

Cotality

Senior Machine Learning Scientist

Dallas, TX · On-site

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable insights from complex data sets. This role combines deep technical expertise in machine learning with ...

Expedia

Machine Learning Scientist III

Austin, TX · On-site

$220K/yr

Machine Learning Scientists III Within the AI & Data organization, the Marketplace Science team develops, optimizes and operationalizes applied science driven marketplace levers that support a ...

Tamus

Learning Quality Consultant

College Station, TX · On-site

$61K - $72K/yr

Master's degree in education, Instructional Design, Educational Technology, Learning Sciences, or related fields. * Three years of related experience in instructional design, educational development ...

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All JobsLearning Scientist JobsLearning Scientist Jobs in Texas

Learning Scientist information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do learning scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for learning scientist in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a learning scientist?

A Learning Scientist studies how people learn and applies research to improve education, training, and instructional design. They combine insights from cognitive science, psychology, education, and technology to develop effective learning environments. Their work may involve designing digital learning tools, analyzing learner behavior, and conducting research to enhance teaching methods. Learning Scientists often collaborate with educators, designers, and policymakers to optimize learning experiences in schools, workplaces, and online platforms.

What types of projects does a learning scientist typically work on within an organization?

Learning Scientists often design and evaluate educational programs, develop new instructional methods, or study how people learn in various environments. Their projects may include collaborating with educators to create digital learning tools, running experiments to measure student engagement or comprehension, and analyzing large data sets to assess the effectiveness of teaching strategies. Many Learning Scientists work closely with curriculum developers, technologists, and policymakers to implement and scale evidence-based improvements. This role provides continuous opportunities to tackle complex, real-world learning challenges while making a measurable impact on educational outcomes.

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

To thrive as a Learning Scientist, you need a solid background in educational psychology, research methods, data analysis, and often a doctoral degree in a related field. Familiarity with learning management systems (LMS), statistical software (such as SPSS or R), and experience conducting experiments or large-scale educational studies is valuable. Strong communication, critical thinking, and collaborative skills help Learning Scientists effectively share insights and work across multidisciplinary teams. These skills are essential for designing evidence-based interventions, analyzing learning outcomes, and driving educational innovation.

What are popular job titles related to Learning Scientist jobs in Texas?

For Learning Scientist jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Learning Scientist jobs in Texas look for?

The top searched job categories for Learning Scientist jobs in Texas are:

What cities in Texas are hiring for Learning Scientist jobs?

Cities in Texas with the most Learning Scientist job openings:

Learning Scientist jobs near you
Infographic showing various Learning Scientist job openings in Texas as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $114,350 per year, or $55 per hour.

Senior Machine Learning Scientist

Cotality

Dallas, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago

Key responsibilities

  • Design, develop, and implement sophisticated machine learning models and algorithms to address complex business challenges.

  • Lead research initiatives to explore cutting-edge machine learning techniques and methodologies.

  • Partner with cross-functional teams to understand business requirements and translate them into actionable technical solutions.

Job description

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
Job Description:
The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable insights from complex data sets. This role combines deep technical expertise in machine learning with strategic thinking to drive innovation and solve challenging business problems through data-driven approaches.
Job Responsibilities:
  • Model Development: Design, develop, and implement sophisticated machine learning models and algorithms to address complex business challenges.
  • Research Leadership: Lead research initiatives to explore cutting-edge machine learning techniques and methodologies.
  • Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that drive business value.
  • Cross-Functional Collaboration: Partner with cross-functional teams to understand business requirements and translate them into actionable technical solutions.
  • Pipeline Engineering: Develop and optimize data processing pipelines for data preprocessing, feature engineering, model training, and evaluation.
  • Data Integration: Evaluate and integrate new data sources to continuously enhance model performance and business insights.
  • Performance Monitoring: Continuously monitor production model performance and implement technical improvements as needed.
  • Stakeholder Communication: Present complex findings, insights, and recommendations clearly to both technical and non-technical stakeholders.
  • Mentorship: Mentor junior data scientists and machine learning engineers, providing technical guidance and driving knowledge sharing across the team.
  • Documentation: Create and maintain rigorous documentation for models, methodologies, and technical processes.

Job Qualifications:
  • Education: Advanced degree (Master's or PhD) in Computer Science, Statistics, Mathematics, a related quantitative field or equivalent work experience.
  • Experience: 3+ years of relevant industry work experience.
  • Programming & Frameworks: Strong programming skills in Python and extensive experience with machine learning frameworks and libraries (e.g., PyTorch, scikit-learn).
  • Production ML: Demonstrated expertise in developing, deploying, and maintaining machine learning models in production environments.
  • Cloud & Big Data: Proven experience working with big data technologies and major cloud computing platforms (GCP, AWS, Azure).
  • Statistical Proficiency: Strong foundational understanding of statistical analysis, experimental design, and hypothesis testing.
  • Data Storytelling: Exceptional verbal, written, and listening skills with a demonstrated ability to communicate complex data insights clearly to diverse audiences.
  • Navigating Ambiguity: Excellent problem-solving skills with a proven track record of delivering results while working with ambiguous business requirements.
  • Distributed Computing: Hands-on experience with distributed computing frameworks (e.g., Apache Spark, Ray, Dask, or Hadoop) to scale machine learning workloads and process massive datasets.

#LI-Hybrid
Annual Pay Range:
111,900 - 130,000 USD
Application Window:
This opportunity is expected to remain posted through the date identified below, subject to business needs.
Thrive with Cotality
At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.
Highlights, depending on role classification, include:
  • Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
  • Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
  • Health: Multiple medical plan options with mental health and wellness support offerings.
  • Retirement: 401(k) with company match and vesting after one year.
  • Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
  • Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.
Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
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