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Remote Data Scientist Jobs in Georgetown, TX (NOW HIRING)

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 ...

YO AI Labs

Data Privacy Analyst - Remote

Austin, TX · Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

PTP

Data Analyst - REMOTE

Austin, TX · On-site +1

Bachelor's degree in Information Systems, Computer Science, Statistics, or related field * 2+ years of experience in data analysis, preferably in an IVR or contact center environment * Experience ...

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Strong understanding of computer science fundamentals (data structures, algorithms, data processing)

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

This is a fully remote position. Face to face communication is important to us, so we have ... Be available on a rotating schedule for production issues Experience * BS in Computer Science or ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

This is a fully remote position. Face to face communication is important to us, so we have ... Be available on a rotating schedule for production issues Experience * BS in Computer Science or ...

YO AI Labs

Medical Writer - Remote

Austin, TX · Remote

$50 - $90/hr

Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Strong understanding of computer science fundamentals (data structures, algorithms, data processing)

Belcan

Data Engineer

Austin, TX · On-site +1

$93.08/hr

Austin, TX (REMOTE ROLE) Zip Code: 78701 Duration: 4 Months Pay Rate: $93.08/hr. Keyword ... Bachelor"s degree in computer science, computer engineering, information systems, or technical ...

Posted today

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Georgetown, TX

Remote Data Scientist information

See Georgetown, TX salary details

$34.8K

$114K

$182.6K

How much do remote data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data scientist in Georgetown, TX is $114,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $126,400.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are 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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Georgetown, TX?

The most popular types of Data Scientist jobs in Georgetown, TX are:

What are popular job titles related to Remote Data Scientist jobs in Georgetown, TX?

For Remote Data Scientist jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist jobs in Georgetown, TX look for?

The top searched job categories for Remote Data Scientist jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Remote Data Scientist jobs?

Cities near Georgetown, TX with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,039 per year, or $54.8 per hour.

Senior Data Engineer

ActivTrak

Austin, TX • Remote

$105K - $142K/yr

Full-time

Posted 7 days ago

Job description

We're growing our data engineering team to design and operate the production systems that make our machine learning and analytics work scalable, observable, reliable, and economical. This is a platform-ownership role: you're building the infrastructure a petabyte-scale data platform runs on, not executing tickets handed down from another team.

You'll work on problems like:

  • Designing and operating production data pipelines across a layered (bronze/silver/gold) data platform: sourcing, cleansing, and transforming data at scale
  • Solving incremental sync and stream processing as data volume and account count grow - a real, unsolved scaling problem for us today
  • Building regional data architecture that respects data residency and PII boundaries (e.g., data belonging to a region can't simply be centralized into one global store)
  • Designing the production systems, orchestration, and deployment mechanisms that turn Data Science's models and analysis into durable, monitored, reliable pipelines

Where this role starts and ends: Data Science owns problem formulation, features, model and scoring logic, evaluation, and model performance. You own the pipeline infrastructure, orchestration, deployment mechanisms, observability, scalability, and operational reliability that put their work into production. The primary ownership is clear, but you'll work together across that boundary when production issues span model and platform.

This is an individual contributor role with substantial ownership of the platform. It does not include people-management responsibilities.

Requirements

Must-Haves:

  • 5+ years designing and operating data pipelines in production at scale
  • Experience with batch and stream data processing, including incremental/streaming architectures
  • Strong Python and production-grade software engineering practices (testing, code review, version control, monitoring)
  • Demonstrably strong SQL
  • Experience with ETL/ELT pipeline design and orchestration

Nice-to-Haves:

  • Experience with regional/multi-region data storage and data residency constraints
  • Parallel dataframes (Dask, Spark, or similar)
  • API design/implementation (microservices, REST, etc.)
  • Cloud environment experience (GCP or AWS), Docker/Containers, Kubernetes
  • Machine learning deployment or serving experience

Benefits

Why Should You Apply?

  • Own the platform problem that determines how fast and how reliably ActivTrak's ML and analytics can scale
  • Meaningful scaling challenges: incremental/streaming processing, regional data residency, and petabyte-scale data across hundreds of millions of events per day
  • 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 in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, or age.

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