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Entry Level Data Scientist Remote Jobs in Georgetown, TX

micro1 AI

AI Trainer - Microbiology Expert

Austin, TX · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

micro1 AI

AI Trainer - Microbiology Expert

Killeen, TX · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

NextSilicon

HPC Customer Solutions Engineer

Austin, TX · Remote

Location : Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote ... Familiarity with Python and its relevant data science libraries (e.g., NumPy, Pandas) * Familiarity ...

NextSilicon

HPC Customer Solutions Engineer

Austin, TX · On-site +1

Location : Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote ... Familiarity with Python and its relevant data science libraries (e.g., NumPy, Pandas) * Familiarity ...

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All JobsData Scientist JobsEntry Level Data Scientist Remote JobsEntry Level Data Scientist Remote Jobs in Georgetown, TX

Entry Level Data Scientist Remote information

See Georgetown, TX salary details

$42.7K

$153.3K

$226.2K

How much do entry level data scientist remote jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level data scientist remote in Georgetown, TX is $153,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is an entry level data scientist remote?

An Entry Level Data Scientist (Remote) is a professional who analyzes and interprets complex digital data to help companies make informed decisions, typically working from a location outside of the company's physical office. They use statistical techniques, machine learning, and data visualization tools to uncover insights from large datasets. Entry level positions are designed for individuals with limited professional experience, often recent graduates or those transitioning into the field. Remote roles offer flexibility, enabling employees to work from home or any other location with internet access.

What are the key skills and qualifications needed to thrive as an entry level data scientist remote?

To thrive as an Entry Level Data Scientist (Remote), you need a solid foundation in statistics, programming (especially Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow), as well as experience with data visualization platforms, is often expected. Strong problem-solving skills, self-motivation, and clear communication are crucial for collaborating across teams and working independently in a remote environment. These skills and qualities ensure you can effectively extract insights from data and contribute meaningfully to business decisions, even without direct in-person supervision.

What are some common challenges entry level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulties in understanding team expectations, and staying motivated without in-person supervision. To overcome these, it's helpful to proactively communicate with teammates and supervisors, seek regular feedback, and participate in virtual team meetings or collaborative coding sessions. Leveraging online communities and internal chat channels can also help build connections and access guidance when needed, ensuring continued learning and integration into the team.

Can I get an entry level data scientist remote job with no experience?

Entry level remote data scientist positions typically require some foundational knowledge in programming, statistics, and data analysis tools like Python or R. While prior experience is often preferred, candidates with relevant coursework, certifications, or strong analytical skills can sometimes qualify for entry-level roles without professional experience.

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

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

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

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

Entry Level Data Scientist Remote jobs near you
Infographic showing various Entry Level Data Scientist Remote 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 $153,322 per year, or $73.7 per hour.

Junior / Mid-Level Full-Stack Platform Engineer (Remote)

Urrly

Austin, TX • Remote

$90K - $130K/yr

Full-time

Re-posted 8 days ago

Job description

Build the full-stack platform behind biometric health technology used in real research, healthcare, workforce safety, and enterprise environments.

Junior / Mid-Level Full-Stack Platform Engineer

Location: Remote/distributed in the United States; Austin / San Antonio preferred

Company: Confidential biometric health technology company

Compensation: $90,000-$130,000 base salary, with additional flexibility for exceptional profiles

Opportunity

We are hiring a Junior / Mid-Level Full-Stack Platform Engineer for a fast-moving biometric health technology company building production systems around wearable physiological data, APIs, SDKs, and AI-forward infrastructure.

This is a hands-on builder role for someone early in their engineering career who already has real full-stack experience and strong fundamentals. You do not need to be a senior engineer. You do need to be sharp, practical, curious, and able to ship useful software with mentorship from experienced technical leaders.

The right person will help build backend services, frontend surfaces, APIs, SDKs, and data pipelines that support a broader biometric data platform. You will work in a lean startup environment where speed, ownership, clear communication, and good engineering judgment matter.

Why People Lean In
  • Real platform work in biometric health technology, not toy internal tools.
  • Direct exposure to AI-forward infrastructure, data pipelines, APIs, and SDKs.
  • Mentorship from senior technical leaders while still owning meaningful build work.
  • A lean startup environment where strong early-career engineers can grow quickly.
  • Remote/distributed setup, with Austin / San Antonio preferred but not required.
  • $90,000-$130,000 base salary for the right early-career or junior/mid-level profile, with additional flexibility for exceptional profiles.
What You Will Do
  • Build and improve full-stack platform features across frontend, backend, APIs, SDKs, and data systems.
  • Write Python- or Go-backed services and work with JavaScript or TypeScript on product-facing surfaces.
  • Support data pipelines and platform workflows that connect biometric data, enterprise systems, and AI-facing infrastructure.
  • Collaborate with senior engineers on architecture, implementation, deployment, and technical tradeoffs.
  • Ship clean, reliable code in a compliance-aware environment.
  • Debug production-adjacent issues, reason through data flow, and improve the platform over time.
  • Move quickly without waiting for every detail to be prescribed.
What You Bring
  • Hands-on full-stack software engineering experience from a professional role, internship, startup, open-source work, or substantial shipped project.
  • Strong Python or Go skills.
  • Experience building backend services, APIs, SDKs, or data pipelines.
  • Practical frontend experience, especially JavaScript or TypeScript.
  • Solid fundamentals in Git, testing, debugging, deployment, interfaces, and data flow.
  • Comfort working in a lean startup where priorities move quickly.
  • Ability to communicate tradeoffs clearly and learn from senior engineers.
  • Willingness to complete a live coding assessment.

Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence. This is not a pure classroom-only role; the team needs someone who has already built and shipped real software in some form.

Nice To Have
  • Depth across both Python and Go.
  • AI/ML, AI tooling, data infrastructure, or model-facing platform exposure.
  • Health tech, wearables, biometric data, IoT, or device-connected software experience.
  • HIPAA, SOC 2, GDPR, or other compliance-aware engineering experience.
  • Austin, San Antonio, or broader Texas location.
  • Strong science, engineering, computer science, or systems-oriented background.
What Success Looks Like
  • You learn the existing platform quickly and start shipping useful work.
  • You can own well-scoped full-stack, API, SDK, backend, or data-pipeline tasks from definition through deployment.
  • You ask good questions, communicate tradeoffs, and avoid getting stuck quietly.
  • You write code that is simple, testable, and maintainable.
  • You grow quickly with mentorship while still taking real ownership.
  • You bring curiosity about AI-enabled engineering without needing to be a pure AI researcher.
Additional Details

This is a full-time role with a distributed U.S. team. Austin / San Antonio is preferred, but the engineering team is already distributed, so location is helpful rather than mandatory.

The posted salary range is $90,000-$130,000 base salary, with additional flexibility for exceptional profiles. Final compensation depends on experience, skill level, technical assessment performance, and fit for the role.

Equal Opportunity Statement

Employment decisions are based on qualifications, experience, business needs, and role-related requirements. The company does not discriminate based on protected status. Urrly reviews applications against job-related factors such as skills, certifications, and experience.

Apply Now

Apply now and get a response within 24 hours.