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Data Science Jobs in Tulsa, OK (NOW HIRING)

micro1 AI

AI Training Specialist - Life Sciences

Tulsa, OK · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Varsity Tutors

ACT Science Tutor

Tulsa, OK · Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

System One

Data Platform Lead

Tulsa, OK · On-site

Bachelor''s degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience * 5+ years of experience in data engineering, analytics engineering, or ...

System One Holdings, LLC

Data Platform Lead

Tulsa, OK · On-site

$140K - $160K/yr

Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience * 5+ years of experience in data engineering, analytics engineering, or ...

System One

Data Platform Lead

Tulsa, OK · On-site

Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience * 5+ years of experience in data engineering, analytics engineering, or ...

System One

Data Platform Lead

Tulsa, OK · On-site

Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience * 5+ years of experience in data engineering, analytics engineering, or ...

Varsity Tutors

Middle School Science Tutor

Tulsa, OK · Remote

$18 - $40/hr

Skilled at breaking down the scientific method, experimental variable identification, and basic data analysis for middle school learners. Guides students through designing controlled experiments ...

Varsity Tutors

Earth Science Tutor

Tulsa, OK · Remote

$18 - $40/hr

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy. * Effective Teaching ...

HUB

Cross-Sell Data Analyst, Dynamics 365

Tulsa, OK · On-site

$80K - $110K/yr

Bachelor's degree with a major in Data Science, Statistics, Business, Finance, Economics * Insurance Industry experience required * At least 5+ years of experience in the same or related role ...

Varsity Tutors

AP Environmental Science Tutor

Tulsa, OK · Remote

$18 - $40/hr

... data, and evaluating sustainability proposals. Emphasizes systems thinking and connects ... Familiar with AP Environmental Science curriculum across nine units and common challenges such as ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Tulsa, OK

Data Science information

See Tulsa, OK salary details

$32.5K

$106.4K

$170.4K

How much do data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science in Tulsa, OK is $106,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $117,900.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
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What job categories do people searching Data Science jobs in Tulsa, OK look for? The top searched job categories for Data Science jobs in Tulsa, OK are:
What cities near Tulsa, OK are hiring for Data Science jobs? Cities near Tulsa, OK with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Tulsa, OK as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, 5% Hybrid, and 21% Remote job distribution, with an average salary of $106,411 per year, or $51.2 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Broken Arrow, OK • Remote

$90 - $120/hr

Part-time

Posted 10 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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