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Data Science Jobs in Moore, OK (NOW HIRING)

Cisco

Applied AI Scientist

Oklahoma City, OK · On-site

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

mytfcuhr

Data Engineer I,II,III, SR

Oklahoma City, OK

$106K - $133K/yr

A master's degree in computer science, information systems, computer engineering, artificial intelligence, machine learning, data science, or a closely related field is preferred at the Senior level.

Life.Church

Data Domain Manager

Edmond, OK

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 ...

New

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 ...

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All JobsData Science JobsData Science Jobs in Moore, OK

Data Science information

See Moore, OK salary details

$36.1K

$118.2K

$189.2K

How much do data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science in Moore, OK is $118,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,900.00 and $131,000.00 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.
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What are popular job titles related to Data Science jobs in Moore, OK?

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

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Data Science jobs near you
Infographic showing various Data Science job openings in Moore, OK as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $118,197 per year, or $56.8 per hour.

Data Scientist, Modeler

The Wonderful Company

Oklahoma City, OK • On-site

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago

The Wonderful Company rating

6.5

Company rating: 6.5 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

285th of 440 rated food and drinks producers

Job description

Company Description
Teleflora provides innovative marketing, education, and technology to make sure our member florists get the resources they need to thrive, creating beautiful bouquets with keepsake vases delivered to your door. We've been a part of The Wonderful Company family since 1979, and with a nationwide network of florists, we've become the world's largest flower delivery service. With more than 10,000 member florists in North America, we lead the industry by working directly with our florists to hand-arrange and hand deliver every bouquet!
We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics and business workflows.
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 the ability to translate complex analyses into clear, compelling narratives for non-technical stakeholders, including senior leadership. The Data Scientist will also support A/B testing by validating results, while not owning test execution.
This position will be based at our Oklahoma, OK office. We work a hybrid schedule with an in-office requirement Monday-Wednesday and the option to work remotely on Thursday and Friday.
*Local Candidates Only
Job Description
Forecasting & Budgeting (Core Ownership)
  • Own forecasting models for:
    • Revenue, orders, conversion rates, and AOV
    • Marketing performance and demand planning
  • Partner with Finance and Leadership on budgeting and planning cycles
  • Build scenario models to support strategic decisions
  • Continuously improve forecast accuracy using statistical and machine learning techniques

Customer & LTV Modeling (Core Requirement)
  • Design and maintain Customer Lifetime Value (LTV) models
  • Perform cohort analysis, retention modeling, and customer segmentation
  • Identify key drivers of long-term customer value and profitability
  • Partner with Marketing and Product to apply LTV insights to acquisition, retention, and personalization strategies

AI / LLM Strategy & Implementation
  • Lead adoption of AI/LLM capabilities across analytics and business workflows
  • Identify and implement use cases such as:
    • Automated insight generation and reporting
    • Natural language querying (NL SQL)
    • Customer behavior summarization and segmentation
  • Build prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini, etc.)
  • Critically evaluate AI-generated outputs for accuracy, plausibility, and business relevance

Advanced Analytics & Modeling
  • Develop models for:
    • Demand forecasting and seasonality
    • Customer behavior and conversion drivers
  • Leverage Google Cloud Platform/BigQuery for large-scale data analysis
  • Identify key drivers of performance across product, pricing, and customer behavior

A/B Test Validation & Experimentation Support
  • Validate statistical significance and methodology of A/B tests
  • Ensure accuracy and consistency of test readouts
  • Define guardrails and best practices for experimentation measurement
  • Partner with Product and Analytics teams (without owning test execution)

Communication & Executive Storytelling (Critical)
  • Translate complex analyses into clear, actionable insights for non-technical stakeholders
  • Develop high-quality presentations and narratives for senior leadership and executives
  • Clearly articulate assumptions, risks, and confidence levels in models and forecasts
  • Influence decision-making through structured, data-driven storytelling

Data Strategy & Cross-Functional Collaboration
  • Work closely with:
    • Data Analytics Manager (India)
    • Data Engineering / DW team
    • Product, Marketing, and Finance stakeholders
  • Help define scalable data models and structures to support analytics and AI use cases

Tooling & Infrastructure
  • Build models and workflows using:
    • Python (preferred) or R
    • SQL / BigQuery (Google Cloud Platform ecosystem)
  • Work with modern AI tooling:
    • LLM APIs (OpenAI, Claude, Gemini)
  • Help establish scalable pipelines for both traditional ML and LLM-based systems
  • Establish best practices for prompt design, validation, and governance

Qualifications
  • 5+ years in Data Science or Advanced Analytics (preferably eCommerce or consumer business)
  • Experience presenting to senior executives and driving decisions
  • Strong experience with:
    • Forecasting and time series modeling
    • Customer Lifetime Value (LTV) modeling
    • Python and SQL (BigQuery preferred)
    • Statistical analysis and experimentation
  • Proven ability to build executive-level presentations and communicate complex insights clearly
  • Hands-on experience with LLMs and AI tools (OpenAI, Claude, Gemini, etc.)
  • Experience building or prototyping AI-powered workflows or applications
  • Strong ability to evaluate and validate AI-generated outputs for accuracy and plausibility
  • Understanding of:
    • Prompt engineering
    • Model limitations (hallucination, bias, cost tradeoffs)
  • Excellent verbal and written communication skills
  • Ability to influence stakeholders across Product, Marketing, Finance, and Leadership
  • Master's degree (or foreign equivalent) in Data Science or Statistics

Preferred:
  • Experience with Google Cloud Platform ecosystem
  • Exposure to MLOps or productionizing models
  • Experience in eCommerce or high-volume consumer environments

Additional Information
  • Thriving Wellness Community: Access to top-notch medical coverage comprehensive vision and dental plans, and a 401k with match eligibility to secure your financial future and including:
    • 24/7 online physician consultations
    • virtual mental health resources
    • life coaching
    • engaging employee community groups
    • cash rewards for healthy habits and fitness reimbursements
    • library of on-demand fitness videos
  • Career Advancement Opportunities: Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units.
  • Focused Learning and Development: Grow as a leader with our dedicated Learning and Organizational Development department, offering extensive resources like People Manager and leadership training, webinars, and eLearning courses.
  • Empowering Mentorship Program: Connect with colleagues through our company-wide mentorship program to share goals, overcome challenges, and drive your career forward.
  • Continuous Improvement Training: Participate in training that empowers all employees to learn and implement concepts that drive significant, positive change in the workplace.
  • Building a Healthy Society: To date, our co-Founders Lynda and Stewart Resnick, through their foundations and The Wonderful Company, have invested more than $2.5 billion in education, health and wellness, community development, and sustainability initiatives across California's Central Valley, Fiji, and the world. In 2025, Wonderful ranked as #1 in PEOPLE's "100 Companies That Care" list and was named one of Fortune magazine's 100 Best Companies to Work For. To learn more about our corporate social responsibility efforts, visit csr.wonderful.com.
  • Giving Back to the Community: Make a difference with Wonderful Giving, allowing you to allocate company-provided funds to up to three charities of your choice, and join Wonderful Neighbor to contribute to group service projects within our local communities.

Say everything and share your "Love Out Loud " with the gift of Teleflora flowers-all made by hand and delivered by hand by your local florist. With more than 10,000 member florists in North America alone, Teleflora offers the kind of personal touches, artistry and expertise you expect from a trusted neighborhood florist-even if that neighborhood is across the country. No prepackaged flowers in nondescript boxes dropped on your doorstep-Teleflora's network of professional florists creates artistic arrangements personally delivered in a vase, often on the same day. Teleflora makes every day an occasion with a two-in-one gift that includes a multipurpose keepsake container for long-lasting enjoyment. For more, visit: , or follow us on Instagram and Facebook and tag your own #LoveOutLoud moment.
Telefora is part of The Wonderful Company, a successful, fast-growing privately held $6 billion company with 10,000 employees worldwide. The Wonderful Company's connection to consumers has health at its heart and giving back in its DNA. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California's Central Valley. To view the current Corporate Social Responsibility report, visit csr.wonderful.com.
The Wonderful Company is an Equality Opportunity Employer that provides opportunities for advancement. We are committed to creating a diverse workforce that embodies a deep culture of acceptance, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, region, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories.
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