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Contract Machine Learning Data Scientist Jobs in Austin, TX

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI & Data Scientist, you ...

Data Scientist Duration : Contract Location : Austin, TX Responsibilities : Operations ... Machine Learning Ranjith Saxon Global Inc Direct: 972-573-3644 Desk: 972-363-1009* 218 ...

Contract(onsite) Job Summary We are looking for an experienced AI/ML Engineer to design, develop ... ML Engineering, Machine Learning, Data Science, or a related field. • Strong programming ...

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery. * Contribute to product decisions and help shape the ideation, design, and ...

Senior Data Scientist The Role We are seeking a Senior Data Scientist to lead the design ... Apply machine learning, statistical analysis, predictive modeling, forecasting, and optimization ...

Senior Data Scientist The Role We are seeking a Senior Data Scientist to lead the design ... Apply machine learning, statistical analysis, predictive modeling, forecasting, and optimization ...

Senior Data Scientist The Role We are seeking a Senior Data Scientist to lead the design ... Apply machine learning, statistical analysis, predictive modeling, forecasting, and optimization ...

Working at the intersection of computer science, marine science, and data analytics, this position ... This position is contingent upon contract award. Mission Impact: This position applies emerging AI ...

Senior Data Scientist

Austin, TX · On-site

$120K - $180K/yr

Organization / Role Description Schwab's AI & Data Science organization is a centralized hub for delivering innovative production ready AI and machine learning solutions that drive measurable ...

Organization / Role Description Schwab's AI & Data Science organization is a centralized hub for delivering innovative production ready AI and machine learning solutions that drive measurable ...

Data Scientist

Austin, TX · On-site

$128K/yr

... machine learning and artificial intelligence applications. Responsible for integration of ... Master's degree in Computer Science, Data Science, foreign equivalent or related field. Required ...

Data Science Tutor

Austin, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Showing results 21-40

Contract Machine Learning Data Scientist information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

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

As of Sep 2, 2026, the average yearly pay for contract machine learning data scientist in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a contract machine learning data scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.

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

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

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

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

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

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

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

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

What cities near Austin, TX are hiring for Contract Machine Learning Data Scientist jobs?

Cities near Austin, TX with the most Contract Machine Learning Data Scientist job openings:

Infographic showing various Contract Machine Learning Data Scientist job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.

Machine Learning Scientist III - VRBO Pricing

Expedia

Austin, TX • On-site

$220K/yr

Full-time

Medical, Dental, Vision, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Expedia Group rating

6.9

Company rating: 6.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

8th of 11 rated travel agencies


Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.


Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Travel is a force for good. At Expedia Group (Expedia, Hotels.com, Vrbo, Travelocity, Orbitz, Wotif and others), it's our mission to power global travel for everyone, everywhere, because we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 70+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the world's largest travel platforms. With unrivaled knowledge of the industry and advanced tech innovation, we built a marketplace that allows us to filter through millions of different possibilities, for travelers and partners worldwide.

Travel platform pricing and monetization has critical impacts on the business health. The Machine Learning Science team is building a scalable and robust system to enable pricing as a lever to optimize business performance. The system should be steered based on desired outputs, such as a given tradeoff between volume and profit. Our work directly decides prices across different lines of business, influencing multi-billion dollar revenue.

As a Machine Learning Scientist III, you will research and build this pricing system. You will work on end-to-end pricing problems. You will collaborate with a strong team of machine learning scientists, data scientists, engineers, product managers, and operation analytics. You will contribute to an area of active scientific research: causal inference using machine learning methods, operations research and optimization, ML-based demand estimation, experiment design with spillovers. And this is an applied research role - your models will be deployed to our production systems, and your results will be measured objectively through AB testing.

In this role you will:

  • Apply solid scientific skills, strong analytical and innovative thinking to quickly learn new domains and turn innovative ideas into working solutions

  • Articulate technical solutions and plans to stakeholders based on detailed understanding of business requirements.

  • Research and implement scalable machine learning and data science solutions end to end with engineering rigor.

  • Follow the latest technology and research and be able to customize them to our problem space.

  • Design success metrics for both short-term and long-term performance.

  • Guide solutions using data insights based on deep understanding of business domains.

  • Collaborate with other machine learning and data science teams to build a great data science culture in Expedia Group.

Experience & Qualifications:

  • 3+ years industry experience and an advanced degree (PhD preferred) in a quantitative field, such as Statistics, Operations Research, Economics, Computer Science, or equivalent quantitative fields.

  • Expert in one or multiple areas of machine learning, causal inference, and operations research.

  • Comfortable to analyze complicated data sets to generate insights to guide effective solution development.

  • Passion for solving exciting and meaningful real-world problems using principled techniques and practices.

  • Focus on problem solving with pragmatical methods.

  • Understanding of modern machine learning and data science techniques and their mathematical underpinning.

  • Ability to communicate clearly and effectively to cross functional partners of varying technical levels.

  • Collaborates well in a team and sensitive to clients' needs, while developing warm relationships and building trust with stakeholders

  • Proficiency in one of the tools such as Python, Scala, etc

  • Proficiency with big data ecosystem (Hadoop/Spark)

  • Experience in pricing is a plus.

  • Experience with large scale marketplace experiment design and analysis is a plus.

#LI-MC1

The total cash range for this position in Austin is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.


Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.


Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.


About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.


Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.


Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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