2

Remote Data Science Intern Jobs in Prosper, TX (NOW HIRING)

Principal Machine Learning Scientist

Dallas, TX ยท Remote

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Showing results 21-40

Remote Data Science Intern information

See Prosper, TX salary details

$11

$20

$38

How much do remote data science intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote data science intern in Prosper, TX is $20.61, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $22.45 per hour, depending on experience, location, and employer.

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the key skills and qualifications needed to thrive as a remote data science intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What are popular job titles related to Remote Data Science Intern jobs in Prosper, TX?

For Remote Data Science Intern jobs in Prosper, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Intern jobs in Prosper, TX look for?

The top searched job categories for Remote Data Science Intern jobs in Prosper, TX are:

What cities near Prosper, TX are hiring for Remote Data Science Intern jobs?

Cities near Prosper, TX with the most Remote Data Science Intern job openings:

Infographic showing various Remote Data Science Intern job openings in Prosper, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $42,867 per year, or $20.6 per hour.

Principal Machine Learning Scientist

Cotality

Dallas, TX โ€ข Remote

Full-time

Medical, Life, Retirement, PTO

Re-posted 18 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 deliverMachine LearningbasedPredictive and Forecastingsolutions that will enhance and add value to new and existingReal Estateand propertydata assets for broad industryapplicationsand aligned with business and market requirements.Example solutionisHouse Pricing Indexmodel.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 Opportunityemployer committed to attracting and retaining thebest-qualified people available, without regard torace, color, religion, national origin, gender, sexualorientation, gender identity, age, disability or statusas a veteran of the Armed Forces, or any other basisprotected by federal, state or local law. Cotalitymaintains a Drug-Free Workplace.

Cotality is fully committed to a work environment that embraces everyone's uniquecontributions, experiences and values. We offer anempowered work environment that encouragescreativity, initiative and professional growth andprovides 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