ZipRecruiter

Log In

1

Senior Machine Learning Scientist Jobs in Dallas, TX

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 ...

AppFolio

Sr. Machine Learning Engineer

Richardson, TX

$94K - $129K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

AppFolio

Sr. Machine Learning Engineer

Richardson, TX · On-site

$94K - $129K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Scientists, Data Engineers, and Data Architects on production systems and applications Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning On call ...

next page

Showing results 1-20

All JobsMachine Learning Scientist JobsSenior Machine Learning Scientist JobsSenior Machine Learning Scientist Jobs in Dallas, TX

Senior Machine Learning Scientist information

See Dallas, TX salary details

$66.1K

$109.8K

$163.4K

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

As of Aug 17, 2026, the average yearly pay for senior machine learning scientist in Dallas, TX is $109,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $124,200.00 per year, depending on experience, location, and employer.

What is a senior machine learning scientist?

Senior Machine Learning Scientists are experienced professionals who design, develop, and implement advanced machine learning models to solve complex business or research problems. They are responsible for leading projects, mentoring junior team members, and staying updated on the latest AI and data science technologies. Their work often involves analyzing large datasets, selecting the right algorithms, and optimizing model performance for real-world applications. In addition to technical expertise, they often collaborate cross-functionally to align machine learning solutions with organizational goals.

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

To thrive as a Senior Machine Learning Scientist, you need expertise in machine learning algorithms, statistical analysis, programming (usually in Python or R), and an advanced degree (often a Ph.D.) in a quantitative field. Experience with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms, and version control systems is typically expected, along with knowledge of deploying models in production environments. Exceptional problem-solving, communication, and leadership skills help you translate complex data insights into actionable business solutions and mentor junior team members. These skills are crucial for developing innovative models, ensuring robust deployment, and driving impactful data-driven decisions.

What are some common challenges senior machine learning scientists face when deploying models to production environments?

Senior Machine Learning Scientists often encounter challenges such as ensuring model scalability, maintaining model performance over time, and addressing data drift once models are deployed to production. Collaborating closely with engineering and operations teams is crucial to streamline deployment pipelines and monitor models for real-world reliability. It’s also important to communicate findings and potential risks to stakeholders, and to regularly update models based on new data or business requirements. These aspects make strong cross-functional teamwork and problem-solving skills essential in this role.

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

AspectSenior Machine Learning ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldBachelor's or Master's in CS, Statistics, or related field
Work EnvironmentFocus on developing ML models, algorithms, and researchData analysis, visualization, and business insights
Industry UsageUsed in AI-driven companies, tech firms, research labsCommon across industries for data analysis and reporting

While both roles involve working with data, Senior Machine Learning Scientists focus on developing advanced ML models and algorithms, often requiring research and deep technical expertise. Data Scientists typically analyze data to generate insights and support decision-making. The roles overlap but differ mainly in technical depth and focus area.

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

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

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

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

What job categories do people searching Senior Machine Learning Scientist jobs in Dallas, TX look for?

The top searched job categories for Senior Machine Learning Scientist jobs in Dallas, TX are:

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

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

Senior Machine Learning Scientist jobs near you
Infographic showing various Senior Machine Learning Scientist job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,820 per year, or $52.8 per hour.

Senior Machine Learning Scientist

Cotality

Dallas, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago

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.
Privacy Policy
Global Applicant Privacy Policy
By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.
Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

Apply