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Data Science Jobs in Edmond, OK (NOW HIRING)

Earth Science Tutor

Oklahoma City, OK ยท 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 ...

Minimum 7 years' experience in data science, machine learning, or applied AI (with at least 3 years in operational or enterprise environments) * Hands-on experience with: * Python-based ML frameworks ...

ERP AI Engineer - Manager

Oklahoma City, OK ยท On-site

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Showing results 41-60

Data Science information

See Edmond, OK salary details

$33.9K

$110.9K

$177.5K

How much do data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science in Edmond, OK is $110,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $122,900.00 per year, depending on experience, location, and employer.

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 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.

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 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.

Is a data scientist in high demand?

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 jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Edmond, OK?

The most popular types of Data Science jobs in Edmond, OK are:

What are popular job titles related to Data Science jobs in Edmond, OK?

For Data Science jobs in Edmond, OK, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Edmond, OK look for?

The top searched job categories for Data Science jobs in Edmond, OK are:

What cities near Edmond, OK are hiring for Data Science jobs?

Cities near Edmond, OK with the most Data Science job openings:

Infographic showing various Data Science job openings in Edmond, OK as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,895 per year, or $53.3 per hour.

Molecular Genetics and Genome Sciences - Open Rank

University of Oklahoma HSC

Oklahoma City, OK โ€ข On-site

Other

Re-posted 12 days ago


Job description

Description
The Department of Molecular Genetics and Genome Sciences is a newly established basic science department within the College of Medicine (COM) at the University of Oklahoma Health Sciences (OUHSC). The Department is embarking on an aggressive growth schedule to recruit multiple (3-5) tenure-track or tenured faculty - at the ranks of Assistant, Associate, or Full Professor - in each of the next three years. We seek applicants who are energized by the opportunity to join a founding team to build a vibrant and evolving academic community. As members of the inaugural cohort, these faculty will have both the opportunity and the responsibility to co-create the scholarly vision of the Department, shape its collaborative norms, and define a lasting culture of excellence. Successful candidates are expected to develop independent research programs that pursue fundamental questions in molecular genetics and genome sciences, while also catalyzing interdisciplinary collaborations that span the full translational spectrum. Collectively, these new faculty will establish a broad, cross-cutting presence at OUHSC - connecting genetic and genomic discovery with biomedical data science, systems biology, genomic medicine, and clinical and public health translation.
The Department will leverage existing strengths in OUHSC to advance a coherent understanding of biology and medicine. Key partners for program-building include the Harold Hamm Diabetes Center, the Nathan Shock Center on Aging, the Dean McGee Eye Institute, the Stephenson Cancer Center (Oklahoma's only NCI-designated cancer center), and the Oklahoma Medical Research Foundation. The Department will also serve as a vital link to computation-intense research on the University's Norman campus, synergizing with the research and education programs at the School of Computer Science and the Stephenson School of Biomedical Engineering.
We encourage applications from innovative researchers in molecular genetics, computational genomics, and advanced methodological development, as well as those pursuing mechanistic studies of organ development and dynamic modeling of disease trajectories. Successful applicants will receive a competitive salary and start-up package. The Department is housed in a newly renovated building, offering modern, contiguous space designed to support collaborative team science. The Department will actively partner with other departments, institutes, and centers across campus to explore joint growth opportunities (e.g., cluster hires) and to support shared infrastructure needs.
The Department's initial growth phase emphasizes epigenomic analyses of tissue-specific function and the integration across data modalities and biological scales. We invite applications covering a wide range of areas, including but not limited to:
  • Single-cell and spatial analyses, including multi-omic integration.
  • Biomedical data science that combines methodology and implementation, in areas such as statistical modeling, natural language processing, bioimaging analytics, and machine learning/artificial intelligence applications that improve genotype-phenotype mapping.
  • Translational bioinformatics as applied to complex diseases, including cancers, neurological and psychiatric disorders, cardiovascular diseases, and aging-related conditions.
  • Implementation science that combines (epi)genomic profiles with other emerging data streams, in contexts such as biobanking, deep phenotyping, and predictive modeling of health outcomes.
Faculty in the Department will have the opportunity to mentor graduate students through multiple existing doctoral programs and are expected to contribute to graduate, medical, and postdoctoral education, including the creation of new courses aligned with their expertise. Faculty will also play a central role in establishing a new graduate program in genetics and genome sciences. Additional responsibilities include active participation in services at the departmental, college, and university levels, as well as engagement with the broader academic community nationally and internationally. The Department places a strong emphasis on mentorship and is committed to fostering professional development at every career stage.
Qualifications
Applicants must hold a doctoral degree (PhD, MD, or equivalent) and demonstrate evidence of research productivity, teaching potential, and strong momentum toward a well-defined research plan.
Application Instructions
Applications should include the following materials:
  • A letter of interest
  • Curriculum Vitae
  • A Research Statement (up to 3 pages)
  • A Teaching Statement (up to 2 pages)
  • Three letters of reference, or contact information for potential referees (especially for mid-career or senior investigators)

While application reviews will proceed on a rolling basis, those received by October 1, 2025 will receive full consideration for the 2025-2026 cycle. We also welcome inquiries from those considering future recruitment cycles to discuss potential fit.