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Data Science Jobs in Shawnee, OK (NOW HIRING)

Life.Church

Data Domain Manager

Edmond, OK · On-site

Bachelor's degree preferred. * 5+ years of experience in data analytics, data science, or a related field with demonstrated progression into strategic responsibilities. * Experience with modern data ...

Varsity Tutors

ACT Science Tutor

Oklahoma City, 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 ...

Pwc

Data Engineer - Senior Manager

Oklahoma City, OK · On-site

$124K - $280K/yr

... Data Science, and Data Governance - Architecting and implementing cloud-based solutions meeting industry standards Travel Requirements Up to 60% Job Posting End Date The salary range for this ...

Varsity Tutors

Earth Science Tutor

Oklahoma City, 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 ...

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All JobsData Science JobsData Science Jobs in Shawnee, OK

Data Science information

See Shawnee, OK salary details

$33.1K

$108.4K

$173.6K

How much do data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science in Shawnee, OK is $108,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $120,100.00 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.
More about Data Science jobs

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

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

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Shawnee, OK as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $108,415 per year, or $52.1 per hour.

Data Domain Manager

Life.Church

Edmond, OK • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Life.Church wants to make a lasting difference in your life, in our community, and in the world. Our mission is to lead people to become fully devoted followers of Christ. That's how we're able to make a difference, and it's the driving force behind everything we do.
The Data Domain Manager is responsible for serving as the strategic bridge between data capabilities and domain outcomes. This role owns the end-to-end data strategy for an assigned domain, ensuring data initiatives directly enable and improve the mobile app user experience. The Data Domain Manager partners with cross-functional teams to align data strategy with product priorities, driving trusted data solutions that support informed decision making and organizational goals.
This role operationally supports the team's direction, initiatives, and ministry efforts to achieve outcomes that further Life.Church's mission and reach people for Christ.
What You'll Do
Own Domain Strategy and Roadmapping
  • Translate domain product roadmaps into data requirements, identifying opportunities where data can unlock user value before engineering teams start building.
  • Represent the data perspective early in product planning and throughout the software development lifecycle.
  • Maintain a domain-specific data roadmap aligned with YouVersion's strategic priorities.
  • Partner with Engineering teams to ensure foundational capabilities support domain needs.

Drive Data Delivery and Accountability
  • Prioritize and sequence domain data work to balance strategic initiatives with operational requests.
  • Build institutional knowledge of domain-specific metrics, user journeys, and business logic.
  • Own the quality and trustworthiness for domain-specific datasets from ingestion through insight.
  • Apply governance and data quality standards while adapting them to domain-specific needs.
  • Ensure proper instrumentation, documentation, and accessibility of domain data assets.

Foster Collaboration with Key Stakeholders
  • Serve as primary data partner to product managers, engineering leads, domain leaders and executives.
  • Communicate data insights and opportunities in business context, connecting technical work to user outcomes.
  • Manage expectations and communicate tradeoffs when prioritizing data work.

Skills Needed to Succeed
  • Strong product thinking skills, with the ability to translate business objectives into clear data requirements and translate data insights back into actionable business outcomes.
  • Excellent stakeholder management and communication skills, including the ability to clearly present complex data concepts to executive audiences.
  • Deep knowledge of the end-to-end data lifecycle, including data collection, storage, transformation, analysis, and activation.
  • Exceptional verbal, written, and interpersonal communication skills.
  • Effective at self-leadership, prioritizing work, and managing multiple responsibilities while meeting deadlines.
  • Ability to make sound decisions, solve problems, and adapt to changing priorities with minimal direction.
  • High school diploma or GED.
  • Bachelor's degree preferred.
  • 5+ years of experience in data analytics, data science, or a related field with demonstrated progression into strategic responsibilities.
  • Experience with modern data stacks, mobile app analytics, or consumer digital products, including domains such as consumer engagement, marketing technology, and platform/B2B products preferred.

Benefits We Offer
  • Paid parental leave, including maternity, paternity, and adoption leave.
  • Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons.
  • Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health.
  • Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase.
  • Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.
  • Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.
  • Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn't stop there-the more years on staff, the greater the investment!
  • $160 annually in development dollars for team members to invest in their professional growth.
  • Casual dress and work environment.
  • And much more!

Our Beliefs, Culture, and Commitment to Diversity
At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual's capacity to represent Life.Church's beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. Learn more about what we believe at Life.Church.
While we unite around our mission, we know unity doesn't mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page.
All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.

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