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

ActivTrak

Senior Data Scientist

Austin, TX · Remote

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 ...

Amat

Data Scientist- Install Automation

Austin, TX · 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 ...

Applied Materials

Manager, Data Scientist

Austin, TX · 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 ...

Amat

Manager, Data Scientist

Austin, TX · 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 ...

ActivTrak

Senior Data Engineer

Austin, TX · 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 ...

Enverus

Data Specialist - 26327

Austin, TX · Remote

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 ...

Podium Education

Data Analytics Instructor

Austin, TX · On-site +1

$4.0K/wk

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.

Podium Education

Data Analytics Instructor

Austin, TX · Remote

$4.0K/wk

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.

Pabst

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... Exposure to data science workflows, machine learning, or AI deployments is a plus * Strong ...

Fliff

Senior Data Scientist

Austin, TX · On-site +1

The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function. You'll be the analytical backbone of how we acquire, retain, and grow our user base - building the ...

Thatch

Data Scientist, Analytics

Austin, TX · On-site +1

$160K - $200K/yr

We're looking for a Data Scientist to help Thatch make better product, commercial, financial, and operational decisions. You'll own both halves of the problem: the data models and measurement systems ...

Fliff

Senior Data Scientist

Austin, TX · Remote

The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function. You'll be the analytical backbone of how we acquire, retain, and grow our user base -- building the ...

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Showing results 21-40

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Austin, TX

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Austin, TX?

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

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

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

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

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

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

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

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Scientist

ActivTrak

Austin, TX • Remote

Full-time

Posted 10 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 demands 

This is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company.  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! 

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. 

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