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

We're growing our Data Science team to ship production machine learning that powers ActivTrak ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

Data Scientist- Install Automation

Austin, TX ยท On-site +1

$78K - $108K/yr

Who We Are Applied Materials is the global leader in materials science and engineering solutions ... Design and implement data pipelines, feature engineering, model training, validation, deployment ...

Data Engineer

Austin, TX

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field * 3+ years of experience in data engineering, data analysis, business intelligence, or related ...

Manager, Data Scientist

Austin, TX ยท On-site +1

$176K - $242K/yr

If you want to push the boundaries of materials science and engineering to create next generation ... Collaborate with business stakeholders, product teams, engineers, data scientists, and subject ...

Manager, Data Scientist

Austin, TX ยท On-site +1

$176K - $242K/yr

If you want to push the boundaries of materials science and engineering to create next generation ... Collaborate with business stakeholders, product teams, engineers, data scientists, and subject ...

Senior Data Engineer

Austin, TX ยท Remote

$105K - $142K/yr

Data Science owns problem formulation, features, model and scoring logic, evaluation, and model ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

The Data Research and Collection Intern collects and interprets data for our customers affected by ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

The Data Research and Collection Intern collects and interprets data for our customers affected by ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a ...

This is a part-time, semesterly, and remote role (~5-7 hours/week). What You'll Do * Bring Data ... Education or experience in Data Analytics, Data Science, Statistics, or a related field.

This is a part-time, semesterly, and remote role (~5-7 hours/week). What You'll Do * Bring Data ... Education or experience in Data Analytics, Data Science, Statistics, or a related field.

Data Specialist - 26327

Austin, TX ยท On-site +1

$55K - $62K/yr

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a ...

Data Specialist - 26327

Austin, TX ยท On-site +1

$55K - $62K/yr

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a ...

Showing results 21-40

Remote Data Science Intern information

See Austin, TX salary details

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

As of Sep 2, 2026, the average hourly pay for remote data science intern in Austin, TX is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 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 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 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 most commonly searched types of Remote Data Science jobs in Austin, TX?

The most popular types of Remote Data Science jobs in Austin, TX are:

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

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

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

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

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

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

Infographic showing various Remote Data Science Intern job openings in Austin, TX as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% Remote job distribution, with an average salary of $46,398 per year, or $22.3 per hour.

Senior Data Scientist

ActivTrak

Austin, TX โ€ข Remote

Full-time

Posted 8 days ago


Job description

We're growing our Data Science team to ship production machine learning that powers ActivTrak's next generation of workforce intelligence products. This is a hands-on role built around production ownership: you take a problem from formulation through a shipped, monitored model, not just to a notebook.

You'll work on problems like:

  • Predicting user roles and classifying activity from behavioral event data
  • Cross-account benchmarking that turns aggregate usage patterns into product-differentiating insight
  • Making pragmatic tradeoffs between model sophistication, business value, reliability, latency/cost, and iteration speed
  • Partnering with our Data Engineers, who take your models and analysis and turn them into durable, scalable production systems

Where this role starts and ends: You own problem formulation, feature definition, model and scoring logic, evaluation, and ongoing model performance in production. Data Engineering owns the pipeline infrastructure, orchestration, deployment mechanisms, and operational reliability that put your work into production. The primary ownership is clear, but you'll work together across that boundary when production issues span model and platform - your job is the model delivering the intended outcome and improving over time.

This is an individual-contributor role with substantial ownership over your problem space. It does not include people-management responsibilities.

Requirements

Must-Haves:

  • 5+ years bringing machine learning to production at scale, with direct experience making the sophistication/speed/reliability tradeoffs described above
  • Strong Python and production-grade software engineering practices (testing, code review, version control)
  • Experience with classification/prediction problems on behavioral, event, or user activity data
  • Strong SQL and comfort working directly against production data sources, not just flat files or CSVs
  • Experience with feature engineering: defining, standardizing, and validating features for production models
  • Experience monitoring model quality after deployment and responding to drift or degradation, not just shipping and moving on

Nice-to-Haves:

  • Time series analysis and/or hidden state models
  • Parallel dataframes (Dask, Spark, or similar)
  • Comfort working within a layered/medallion-style data architecture (raw cleansed/identified aggregated/de-identified)
  • Feature store experience (versioning, storage, reuse)
  • Cloud environment experience (GCP or AWS), and general comfort operating around containerized/orchestrated infrastructure (Docker, Kubernetes) even if you're not the one building it

Benefits

Why Should You Apply?

  • Own production ML that reaches customers and improves through real-world feedback
  • Work on a genuinely uncommon ML problem: behavioral event data from 9,500+ customer organizations, used for role prediction, activity classification, and cross-account benchmarking
  • Small, senior team with real ownership and visibility to leadership

Work environment

  • Position is remote within US
  • Minimal travel
  • Limited physical demandsย 

This is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company.ย  If you have a proven track record of creative thinking, a drive for learning, and a deep commitment to collaboration, we want to talk to you!ย 

ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, age, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.ย