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Remote Data Science Jobs in Oklahoma (NOW HIRING)

Teleflora

Data Scientist, Modeler

Oklahoma City, OK · On-site +1

This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is ...

Deloitte

GCP Manager

Tulsa, OK · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Argenx

... on argenx's scientific data, products and trials, and is responsible for engagement with Key ... Ability for 50% travel #LI-Remote For applicants in the United States: The annual base salary ...

Stride, Inc.

High School Science Teacher

Midwest City, OK · Remote

$46K - $60K/yr

This position is remote and requires candidates who reside in Oklahoma. The High School Science ... Student success will be measured by valid and reliable assessment data, parent and student ...

Strayos

$13 - $17.50/hr

... data to build insights for Mining, Infrastructure and Construction industry. Our applied science ... As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$96K - $131K/yr

Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent experience ... Strong self-management skills with the ability to work independently in a fully remote environment.

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent experience ... Strong self-management skills with the ability to work independently in a fully remote environment.

Deloitte

Databricks Manager

Tulsa, OK · On-site +1

Support data science and model teams with platform needs, environment enablement, and deployment ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Epiq

AI Senior Product Manager

Kansas, OK · Remote

$100K - $133K/yr

Collaborate closely with engineering, data science, design, and marketing teams throughout the ... Strong commitment to Professional Collaboration and Teamwork. #LI-KS1 #LI-Remote The Compensation ...

CCT

AWS Cloud Data Engineer

Tulsa, OK · On-site +1

$104K - $125K/yr

This level of knowledge is normally acquired through completion of a Bachelor's Degree in a data-centric field (Computer Science, Economics, Information Systems, Data Analytics, etc.) and 3 years ...

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All JobsRemote Data Science JobsRemote Data Science Jobs in Oklahoma

Remote Data Science information

See Oklahoma salary details

$21.1K

$93.8K

$179K

How much do remote data science jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote data science in Oklahoma is $93,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,441.00 and $130,073.00 per year, depending on experience, location, and employer.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

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 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.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Oklahoma? The most popular types of Data Science jobs in Oklahoma are:
What are popular job titles related to Remote Data Science jobs in Oklahoma? For Remote Data Science jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Oklahoma look for? The top searched job categories for Remote Data Science jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Data Science jobs? Cities in Oklahoma with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Oklahoma as of June 2026, with employment types broken down into 2% As Needed, 72% Full Time, 22% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $93,779 per year, or $45.1 per hour.

Data Science & Analysis - AI Training - Oklahoma City, US

Prolific Academic Ltd

Oklahoma City, OK • On-site, Remote

$80/hr

Full-time

Posted 24 days ago

Job description

Data Science & Analysis - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting-edge AI models using real technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field.
  • Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering.
  • Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently.
  • Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations.
  • LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail.
  • Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely.
  • A PayPal account to receive payment from our clients
What you'll be doing in the role
  • Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness.
  • Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions.
  • Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly.
  • Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models.
  • Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior.
Key Technologies
  • Programming: proficiency in Python (Pandas, NumPy, Scikit-learn) or R.
  • Data Querying: advanced SQL for complex data extraction and manipulation.
  • Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn.
  • Modeling: deep understanding of Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling techniques.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.