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Remote Data Science Jobs in Arkansas (NOW HIRING)

DataAnnotation

Data Science Consultant

Little Rock, AR · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Decision Scientist

Little Rock, AR · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

Relativity

Senior Applied Scientist

Little Rock, AR · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

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How much do remote data science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data science in Arkansas is $93,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,055.00 and $129,037.00 per year, depending on experience, location, and employer.

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 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 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.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Arkansas? The most popular types of Data Science jobs in Arkansas are:
What are popular job titles related to Remote Data Science jobs in Arkansas? For Remote Data Science jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Arkansas look for? The top searched job categories for Remote Data Science jobs in Arkansas are:
What cities in Arkansas are hiring for Remote Data Science jobs? Cities in Arkansas with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Arkansas as of May 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 36% Physical, 3% Hybrid, and 61% Remote job distribution, with an average salary of $93,032 per year, or $44.7 per hour.
Remote Data Science Consultant & AI Trainer

Remote Data Science Consultant & AI Trainer

DataAnnotation

Little Rock, AR • Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A leading AI-focused company in the United States seeks experienced quantitative professionals to evaluate and enhance AI models. This fully remote position offers flexibility with scheduling and competitive hourly pay starting at $40+. Responsibilities include assessing AI-generated work, designing quantitative problems, and providing technical feedback.

Ideal candidates have a background in data science, economics, or related fields, and possess strong analytical and coding skills. A bachelor's degree in a quantitative discipline is preferred. #J-18808-Ljbffr

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