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Senior R Shiny Developer Jobs in Oklahoma (NOW HIRING)

Data Engineering / DW team * Product, Marketing, and Finance stakeholders * Help define scalable ... Experience presenting to senior executives and driving decisions * Strong experience with:

Field Service Engineer 3

Oklahoma City, OK ยท On-site

$35.58 - $38.46/hr

... a member of senior management any quality problems or defects for corrective action to be ... Customer Relationship Management (for example SAP R/3, Microsoft Dynamics CRM, Oracle), MS Office ...

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Senior R Shiny Developer information

What are the key skills and qualifications needed to thrive as a Senior R Shiny Developer, and why are they important?

To thrive as a Senior R Shiny Developer, you need advanced proficiency in R programming, strong experience in building interactive Shiny applications, and a solid background in data analysis or statistics, often supported by a relevant degree. Familiarity with version control systems like Git, deployment tools (such as Docker or Shiny Server), and knowledge of front-end web technologies (HTML, CSS, JavaScript) are typically required. Strong problem-solving abilities, effective communication, and the capacity to collaborate with multidisciplinary teams distinguish top performers in this role. These skills ensure the delivery of robust, user-friendly data applications that meet complex business needs and facilitate data-driven decision-making.

What are Senior R Shiny Developers?

Senior R Shiny Developers are experienced professionals who design, develop, and maintain interactive web applications using R and the Shiny framework. They are responsible for creating user-friendly dashboards, data visualizations, and analytical tools, often for data-driven organizations. In addition to strong R programming skills, they typically have expertise in front-end technologies, data management, and deploying Shiny applications to production environments. Senior developers often mentor junior team members and collaborate with stakeholders to deliver robust and scalable solutions.

What is the difference between Senior R Shiny Developer vs Data Scientist?

AspectSenior R Shiny DeveloperData Scientist
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; experience with R and ShinyBachelor's or higher in Data Science, Statistics, or related fields; proficiency in R, Python, and statistical modeling
Work EnvironmentDevelops interactive dashboards and web apps for data visualization in tech, finance, healthcareAnalyzes data, builds predictive models, and interprets results across various industries
Employer & Industry UsageTech companies, consulting firms, healthcare, financeResearch institutions, tech firms, finance, healthcare, academia

While both roles require strong R skills and data understanding, Senior R Shiny Developers focus on creating interactive web applications, whereas Data Scientists analyze data and develop models. The roles often overlap in data-driven environments but differ in primary responsibilities.

How does a Senior R Shiny Developer typically collaborate with data scientists and business stakeholders on projects?

A Senior R Shiny Developer often acts as a bridge between data scientists, who provide complex analyses and models, and business stakeholders, who need actionable insights. They work closely with data scientists to understand requirements, interpret datasets, and ensure effective integration of analytical results into interactive Shiny applications. Collaboration with stakeholders involves gathering feedback, translating business needs into technical features, and iteratively refining dashboards or tools to improve usability and value. This role requires strong communication skills and the ability to manage expectations while delivering functional, scalable solutions.
What are popular job titles related to Senior R Shiny Developer jobs in Oklahoma? For Senior R Shiny Developer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Senior R Shiny Developer jobs in Oklahoma look for? The top searched job categories for Senior R Shiny Developer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Senior R Shiny Developer jobs? Cities in Oklahoma with the most Senior R Shiny Developer job openings:
Data Scientist, Modeler

Data Scientist, Modeler

Teleflora

Oklahoma City, OK โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday


Job description

Company Description

Telefloraย 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. Weโ€™ve been a part of The Wonderful Company family since 1979, and with a nationwide network of florists, weโ€™ve become the worldโ€™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 anย 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 โ†’ 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 GCP/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 (GCP 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 GCP 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:ย 
    • 24/7 online physician consultationsย 
    • virtual mental health resourcesย 
    • life coachingย 
    • engaging employee community groupsย 
    • cash rewards for healthy habits and fitness reimbursementsย 
    • library of on-demand fitness videosย 
  • Career Advancement Opportunities: Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units.ย 
  • 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.ย 
  • Empowering Mentorship Program: Connect with colleagues through our company-wide mentorship program to share goals, overcome challenges, and drive your career forward.ย 
  • Continuous Improvement Training: Participate in training that empowers all employees to learn and implement concepts that drive significant, positive change in the workplace.ย 
  • Building a Healthy Society:ย 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 Californiaโ€™s Central Valley, Fiji, and the world. In 2025, Wonderful ranked as #1 in PEOPLEโ€™s โ€œ100 Companies That Careโ€ list and was named one of Fortune magazineโ€™s 100 Best Companies to Work For. To learn more about our corporate social responsibility efforts, visitย 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.ย 

Say everything and share your "Love Out Loudโ„ข" with the gift of Telefloraยฎ flowersโ€”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 floristโ€”even if that neighborhood is across the country. No prepackaged flowers in nondescript boxes dropped on your doorstepโ€”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: www.teleflora.com, or follow us on Instagram and Facebook and tag your own #LoveOutLoud moment.ย 

Telefora is part of The Wonderful Company, a successful, fast-growing privately held $6 billion company with 10,000 employees worldwide. The Wonderful Companyโ€™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 Californiaโ€™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.ย 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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