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Algorithm Scientist Jobs in Tulsa, OK (NOW HIRING)

Oneok, Inc.

AI Engineer

Tulsa, OK · On-site

Advanced algorithms: Develop numerical optimization, forecasting, computer vision, and anomaly ... Bachelor's degree in Engineering, Management Information Systems, Computer Sciences, Accounting ...

ONEOK, Inc

AI Engineer

Tulsa, OK

Advanced algorithms: Develop numerical optimization, forecasting, computer vision, and anomaly ... Bachelor's degree in Engineering, Management Information Systems, Computer Sciences, Accounting ...

Varsity Tutors

Coding Tutor

Tulsa, OK · Remote

$18 - $40/hr

... algorithms, debugging, and introductory concepts across languages like Python, JavaScript, and ... students for computer science courses, coding bootcamps, or technology career pathways.

Stand-By Personnel

Software Engineer

Broken Arrow, OK · On-site

Bachelor's degree in Computer Science or a related technical field, or an equivalent combination of ... Strong understanding of object-oriented design, data structures, and algorithms. Preferred ...

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All JobsAlgorithm Scientist JobsAlgorithm Scientist Jobs in Tulsa, OK

Algorithm Scientist information

See Tulsa, OK salary details

$46.1K

$101.7K

$125.6K

How much do algorithm scientist jobs pay per year?

As of Jul 15, 2026, the average yearly pay for algorithm scientist in Tulsa, OK is $101,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,300.00 and $125,100.00 per year, depending on experience, location, and employer.

What degree do you need to be an algorithm engineer?

Algorithm scientists typically hold at least a bachelor's degree in computer science, electrical engineering, mathematics, or related fields. Many roles require a master's or Ph.D. for advanced research and development, along with strong programming skills in languages like Python or C++ and knowledge of data structures and algorithms.

Is AI a high paid job?

Algorithm Scientists and other AI-related roles are generally well-paid due to high demand for skills in machine learning, data analysis, and programming. Salaries vary based on experience, location, and industry, but AI jobs often offer competitive compensation compared to other tech roles.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 with experience and advanced skills in areas like deep learning and big data tools. These roles typically require extensive experience, advanced degrees, and expertise in programming, statistical analysis, and data management.

Is 40 too late for data science?

As an Algorithm Scientist, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
What are popular job titles related to Algorithm Scientist jobs in Tulsa, OK? For Algorithm Scientist jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Algorithm Scientist jobs in Tulsa, OK look for? The top searched job categories for Algorithm Scientist jobs in Tulsa, OK are:
Algorithm Scientist jobs near you
Infographic showing various Algorithm Scientist job openings in Tulsa, OK as of July 2026, with employment types broken down into 3% Locum Tenens, 70% Full Time, 24% Part Time, and 3% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $101,697 per year, or $48.9 per hour.
AI Engineer

AI Engineer

Oneok, Inc.

Tulsa, OK • On-site

Full-time

Posted 9 days ago

Job description

#WeAreONEOK - Fortune 500 company. 100+ years in business. Leading midstream service provider. Safety first. Sustainable operations. Environmentally responsible. Employee focused.
JOB SUMMARY
Job Profile Summary/Mission
Design, build, and operate the AI systems that Operations relies on. The AI Engineer is responsible for the most technically demanding work - advanced algorithms, production agents, and shared frameworks - and delivers reusable infrastructure that enables the rest of the team to work efficiently.
Essential Functions and Core Responsibilities
  • Production AI systems: Develop, deploy, and maintain operations-critical AI systems, including agents, harnesses, tools, and evaluation pipelines. Accountable for reliability, latency, cost, and accuracy.
  • Advanced algorithms: Develop numerical optimization, forecasting, computer vision, and anomaly detection capabilities in cases where off-the-shelf AI does not meet the operational requirement.
  • Shared frameworks: Develop the code templates, agent skills, and function-calling patterns reused by Forward Deployed Engineers and AI Analysts, enabling consistent and efficient delivery across the team.
  • Tooling and prompts: Design, tune, and evaluate purpose-built tools, function calls, and prompt templates.
  • Operations-aware user experience: Develop custom user interfaces for operations workflows, designed from user requirements.
  • Mentorship: Develop the capabilities of Forward Deployed Engineers and AI Analysts in AI engineering practices, code quality, and system design. Establish and maintain the technical standard for the team.
  • Security and IT partnership: Ensure AI systems meet ONEOK IT and security standards as they are transitioned to production.

Education
  • Bachelor's degree in Engineering, Management Information Systems, Computer Sciences, Accounting, Finance, Business Administration, or other related field with specific job-related experience as follows:

Required Experience
  • Minimum 5 years of software engineering experience, including demonstrated production ownership of AI or ML systems.
  • Extensive experience with LLM-based systems, including agent frameworks, tool use, evaluations, prompt engineering, and retrieval.
  • Strong Python engineering skills, with familiarity in at least one of optimization, forecasting, or computer vision.
  • Experience designing APIs, SDKs, or frameworks consumed by other engineers.
  • Proven track record operating systems in production, including monitoring, incident response, and cost management.

How We Measure Success
  • Reliability, latency, and unit cost of production AI systems.
  • Adoption of shared frameworks and templates across Forward Deployed Engineers and AI Analysts, measured by active reuse.
  • Evaluation coverage and regression detection rate on deployed systems.
  • Quality of mentorship, reflected in the growth and independence of Forward Deployed Engineers and AI Analysts.

Team & Collaboration
Engages across the full Operations Analytics team. Partners with Forward Deployed Engineers to advance proven prototypes into enterprise-grade products, supports AI Analysts with tooling and prompt optimization, and relies on the Data Steward for reliable, contextualized data. Maintains close working relationships with IT and Security.
Knowledge, Skills and Abilities
  • Skills in: relational database design including table structures, indexes and primary/foreign key fields.
  • Skills in: use and function of office equipment including computers and applicable software.
  • Skills in: interacting, advising and communicating effectively.
  • Skills in: developing solutions to complicated issues using abstract thinking in new or complex situations.
  • Skills in: managing and prioritizing multiple assignments with competing deadlines.
  • Skills in: reading and interpreting correspondence, reports, production statistics, cost analyses, contracts, accounting statements, income statements, ledgers, manuals and legal documents.
  • Ability to: develop information, conduct meetings and present information to individuals and groups.
  • Ability to: apply math, algebra, statistical and volumetric methods.
  • Ability to: be self-motivated and self-directed.
  • Ability to: influence and facilitate discussions across a wide range of teams and technologies.
  • Ability to: mentor less experienced personnel on complex technologies.

Licenses and Certifications
  • None required

Strength Factor Rating - Physical Demands/Requirements
  • Sedentary Work - Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Strength Factor Description - Physical Demands/Requirements
  • Standing: Remaining on one's feet in an upright position at a work station without moving about (Occasionally)
  • Walking: Moving about on foot (Frequently)
  • Sitting: Remaining in a seated position (Constantly)
  • Lifting: Raising or lowering an object from one level to another (includes upward pulling) (Occasionally)
  • Carrying: Transporting an object, usually holding it in the hands or arms, or on the shoulder (Occasionally)
  • Pushing: Exerting force upon an object so that the object moves away from the force (Occasionally)
  • Pulling: Exerting force upon an object so that the object moves toward the force (includes jerking) (Occasionally)
  • Climbing: Ladders, Stairs (Occasionally)
  • Balancing: Maintaining body equilibrium to prevent falling (Occasionally)
  • Stooping: Bending the body downward and forward by bending the spine at the waist (Occasionally)
  • Kneeling: Bending the legs at the knees to come to rest on the knee or knees (Occasionally)
  • Crouching: Bending the body downward and forward by bending the legs and spine (Occasionally)
  • Crawling: Moving about on the hands and arms in any direction (Occasionally)
  • Reaching: Extending hands and arms in any direction (Constantly)
  • Handling: Seizing, holding, grasping, turning or otherwise working with the hand or hands (Manual Dexterity) (Constantly)
  • Fingering: Picking, pinching or otherwise working with the fingers primarily (Finger Dexterity) (Constantly)
  • Feeling: Perceiving such attributes of objects/materials as size, shape, temperature, texture, movement or pulsation by receptors in the skin, particularly those of the finger tips (Constantly)
  • Talking: Expressing or exchanging ideas/information by means of the spoken word (Frequently)
  • Hearing: Perceiving the nature of sound by the ear (Frequently)
  • Tasting/Smelling: (Occasionally)
  • Near Vision: Clarity of vision at 20 inches or less (Constantly)
  • Far Vision: Clarity of vision at 20 feet for more (Frequently)
  • Depth Perception: Three-dimensional vision; ability to judge distances and spatial relationships so as to see objects where and as they actually are (Frequently)
  • Vision: Color - The ability to identify and distinguish colors (Constantly)

Working Conditions/Environment
  • Employee is subject to inside environmental conditions

Working Conditions
  • Well lighted, climate controlled areas (Constantly)
  • Frequent repetitive motion (Constantly)
  • CRT (Computer Monitor(s)) (Constantly)

Travel
  • Travel to other locations required.

Driving
  • Based on assigned tasks, employee may be assigned a company vehicle requiring the applicable driver's license

ONEOK is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, sex, pregnancy, sexual orientation, age, religion, creed, national origin, gender identity, disability, military/veteran status, genetic information or any other categories protected by applicable law.
The job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of ONEOK.
ONEOK is committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request an accommodation email HRSolutions@ONEOK.com or call 1-855-663-6547.
Expected Salary Range
$92,000.00 - $138,000.00

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