Data Scientist, Modeler

Data Scientist

Location:

Oklahoma City, OK

Work Arrangement:
On-site, Remote (Hybrid: Mon‑Wed in office, Thu‑Fri remote)

Seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for the eCommerce business, while 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.

• Own forecasting models for Revenue, orders, conversion rates, AOV, marketing performance, and demand planning
• Partner with Finance and Leadership on budgeting and planning cycles
• Build scenario models to support strategic decisions
• Improve forecast accuracy using statistical and machine learning techniques

• 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

• Lead adoption of AI/LLM capabilities across analytics and business workflows
• Implement use cases:
  Automated insight generation, natural language querying (NL → SQL), customer behavior summarization
• Build prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini)
• Critically evaluate AI‑generated outputs for accuracy and business relevance

• Develop models for demand forecasting, seasonality, customer behavior, and conversion drivers
• Leverage GCP/Big Query for large‑scale data analysis

• Validate statistical significance and methodology of A/B tests
• Ensure accuracy and consistency of test readouts
• Define guardrails and best practices for experimentation measurement

• Translate complex analyses into clear, actionable insights for non‑technical stakeholders
• Develop high‑quality presentations and narratives for senior leadership
• Articulate assumptions, risks, and confidence levels in models

• Work with Data Analytics Manager (India), Data Engineering / DW team, Product, Marketing, and Finance
• Help define scalable data models for analytics and AI use cases

• Build models using Python (preferred) or R and SQL/Big Query (GCP ecosystem)
• Work with LLM APIs (OpenAI, Claude, Gemini)
• Establish best practices for prompt design, validation, and governance

• 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 (Big Query 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 and 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

• Experience with GCP ecosystem
• Exposure to MLOps or product ionizing models
• Experience in eCommerce or high‑volume consumer environments

• Thriving Wellness Community:
  Medical, vision, dental plans, 401k with match, virtual health resources, fitness reimbursements
• Career Advancement Opportunities:
  Clear paths for progression and internal mobility
• Focused Learning and Development:
  Leadership training, webinars, eLearning
• Empowering Mentorship Program:
  Company‑wide mentorship program
• Continuous Improvement Training:
  Employee training programs
• Giving Back:
  Wonderful Giving program, Wonderful Neighbor community service