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Temporary Machine Learning Scientist Jobs in Allen, TX

The Principal Machine Learning Scientist will design, develop, and deliver Machine Learning based Predictive and Forecasting solutions that will enhance and add value to new and existing Real Estate ...

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 ...

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 ...

Machine Learning Engineer

Addison, TX ยท 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 ...

Machine Learning Tutor

Carrollton, TX ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Dallas, TX ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Plano, TX ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Allen, TX ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Irving, TX ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Mckinney, TX ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Engineer

Frisco, TX ยท On-site

$140 - $190/hr

D. preferred) in Computer Science, Machine Learning, or a closely related field. * Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.

Senior Data Scientist

Richardson, TX ยท On-site

$109K - $190K/yr

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... In this role, you will help build AI-powered and machine learning solutions that improve customer ...

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... In this role, you will help build AI-powered and machine learning solutions that improve customer ...

Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive business ...

D. preferred) in Computer Science, Machine Learning, or a closely related field. * Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.

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Showing results 1-20

Temporary Machine Learning Scientist information

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

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What is a temporary machine learning scientist?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do temporary machine learning scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a temporary machine learning scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.
What are popular job titles related to Temporary Machine Learning Scientist jobs in Allen, TX? For Temporary Machine Learning Scientist jobs in Allen, TX, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Scientist jobs in Allen, TX look for? The top searched job categories for Temporary Machine Learning Scientist jobs in Allen, TX are:
What cities near Allen, TX are hiring for Temporary Machine Learning Scientist jobs? Cities near Allen, TX with the most Temporary Machine Learning Scientist job openings:
Infographic showing various Temporary Machine Learning Scientist job openings in Allen, TX as of June 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 59% In-person, and 41% Remote job distribution.

Principal Machine Learning Scientist

Cotality

Dallas, TX โ€ข On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 16 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 Principal Machine Learning Scientist will design, develop, and deliver Machine Learning based Predictive and Forecasting solutions that will enhance and add value to new and existing Real Estate and property data assets for broad industry applications and aligned with business and market requirements. Example solution is House Pricing Index model. Develop algorithmic and rule-based models and analytic capabilities based on rules engine, machine learning, mathematical modeling, pattern recognition, and data mining techniques. Performs data analysis, feature engineering and model development using a variety of analytic techniques, tools, and programming languages to provide business insights and analytic products.
Job Responsibilities:
  • Create data derivation and linkage through algorithms and/or data rules.
  • Create and select predictive features from raw data.
  • Create model reports for stakeholder review and model documentation.
  • Perform pattern recognition model creation and training using various types of algorithms and machine learning modeling techniques for unknown or less well-defined - an unknown problem, solve new problems (e.g., clustering, logistic regression, deep learning, support vector machines, boosting trees, supervised and unsupervised models).
  • Develop analytics using Python, SQL and other big data tools such as BigQuery(BQ), DataPrep and Jupyter Notebook.
  • Perform complex data analysis on large volumes of property and consumer data and present model performance to stakeholders.
  • Provide data science and analytic support for the Enterprise Data Solutions Group (EDSG) and interact with other EDSG teams as well as other business units.
  • QA and analyze large amounts of data to create appropriate data sets for model building.
  • Prepare and maintain programs and documentation for analytic models.
  • Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.
  • Act as a consultant to EDSG's data management and data technology teams.
  • Lead and provide technical leadership on data science project with other data scientists, data engineers, and data analysts.

Job Qualifications:
  • Master's Degree or higher in economics, artificial intelligence, data science, computer science, math, statistics or engineering field, or equivalent work experience.
  • Ability to thrive in a team environment and adapt to quickly changing priorities.
  • 7+ years of directly related experience.
  • Strong problem solving and analytical ability.
  • Strong communication skills.
  • Ability to quickly and efficiently adapt to new concepts.
  • Demonstrated knowledge of statistical techniques.
  • Data mining/data analysis experience.
  • Strong working knowledge in multiple analytic development tools, statistical tools, programming languages, and big data tools.
  • Working knowledge in cloud platform (e.g. AWS, GCP), cloud-based sandbox environment and analytics sandbox and libraries.
  • Ability to work collaboratively with cross-function teams and business units.
  • Demonstrated general business acumen; experience working in a real estate and mortgage related data industry a plus.
  • Ability to lead small team in technical projects.
  • Patents and publications in data science field a plus

#LI-Remote
Annual Pay Range:
134,400 - 190,000 USD
Application Window:
This opportunity is expected to remain posted through the date identified below, subject to business needs.
2026-08-11
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!

Please note, Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from the posted range
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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