ZipRecruiter

Log In

2

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

Orionyx Enginnering

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Education: * Bachelors degree in Data Science, Engineering, Statistics, Computer Science, or a ...

PeopleVisor

Data Scientist

Irving, TX · Remote

Peoplevisor is seeking an experienced Data Scientist who will support our product, sales ... Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Garland, 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 Garland, TX?

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

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

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

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

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

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

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

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Garland, 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.

AI Engineer, Data Science - Information Technology

ServiceLink

Plano, TX • On-site, Remote

$107K - $128K/yr

Full-time

Re-posted 10 days ago

ServiceLink rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

Overview

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a highly skilled AI Engineer to design and implement advanced AI solutions that transform the mortgage industry. In this role, you'll work on fine-tuning Large Language Models (LLMs), applying reinforcement learning techniques, developing multi-agent systems, and leveraging Generative AI for intelligent data retrieval and visualization. Your work will enable natural language-driven insights and empower decision-making through cutting-edge AI technologies.

This is a hybrid role, and will be required to work in-office at our Plano, TX office at least 3 days per week.  Candidates must be located within reasonable commuting distance of this office and be willing to work in-office on a regular basis.

Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future.

A DAY IN THE LIFE

In this role, you will...

  • Build and deploy AI Agents and Tools.
  • Design and implement reinforcement learning algorithms and multi-agent systems to solve complex business challenges.
  • Develop GenAI-based solutions for intelligent data retrieval.
  • Collaborate with cross-functional teams-including Data Engineering, Product, and Infrastructure-to ensure secure, scalable, and efficient AI deployments.
  • Stay ahead of emerging trends in AI research and apply best practices to deliver innovative, business-aligned solutions.

 

WHO YOU ARE

You possess ...

  • A strong technical foundation in Computer Science, Engineering, or a related field, and 2+ years of experience in AI/ML development.
  • Hands-on expertise in fine-tuning LLMs, reinforcement learning, multi-agent systems, and generative AI applications.
  • Proficiency in Python and familiarity with modern AI frameworks and cloud platforms (preferably Microsoft Azure).
  • Experience operationalizing AI models using MLOps best practices.
  • Strong problem-solving skills and the ability to translate complex technical concepts into actionable insights.
  • A collaborative mindset and excellent communication skills to work effectively in interdisciplinary teams.
Responsibilities
  • Build and deploy AI Agents for workflow automation tasks.
  • Develop and fine-tune LLMs for domain-specific applications.
  • Implement reinforcement learning algorithms and multi-agent architectures for intelligent automation.
  • Create GenAI-powered solutions for natural language-driven data retrieval and visualization.
  • Build robust MLOps pipelines for model deployment and monitoring.
  • Collaborate with stakeholders to align AI solutions with business objectives.
  • Continuously research and apply state-of-the-art AI techniques to improve system performance.
  • All other duties as assigned.
Qualifications
  • Bachelor's degree in computer science, Engineering, or related discipline.
  • Project experience in LLM fine-tuning, reinforcement learning, multi-agent systems, and generative AI.
  • Strong programming skills in Python.
  • Excellent communication and collaboration skills.
Employment Type: FULL_TIME

What ServiceLink employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply