Job Description
The Senior Data Scientist is a dedicated role supporting IHG's strategic partnership with Holiday Inn Club Vacations (HICV), responsible for leading the design, development, deployment, and ongoing operation of predictive and prescriptive AI/ML models.
Operating within a joint IHG-HICV delivery model, this role partners closely with business and technical stakeholders to deliver scalable, explainable, and production-ready solutions. The role leverages an iterative, test-and-learn methodology to continuously enhance model performance and drive measurable business impact.
Your day to day
- Lead the end-to-end development and lifecycle management of predictive and prescriptive AI/ML models, from design through deployment and continuous optimization.
- Translate business objectives into scalable data science solutions, partnering with HICV stakeholders to improve key outcomes such as conversion, engagement, and activation.
- Design and execute experimentation frameworks (e.g., A/B and multivariate testing) to evaluate impact and optimize performance against defined KPIs.
- Operationalize models into production environments, enabling real-time and batch scoring, and integrating outputs into key workflows (e.g., contact center routing, survey targeting, package activation).
- Ensure strong data governance, documentation, and model explainability, including clear definitions of inputs, features, methodologies, and outputs, while maintaining compliance with privacy and regulatory standards.
- Collaborate within a joint IHG-HICV governance model, contributing to steering committee reviews, prioritization, and ongoing performance monitoring and enhancement.
What we need from you
- Bachelor's or Master's degree in a quantitative field (e.g., mathematics, statistics, data science), or equivalent relevant experience
- 5-8 years of data science experience with demonstrated delivery of business impact
- Advanced proficiency in Python and SQL (including complex queries, stored procedures, and performance optimization)
- Strong experience with machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch; familiarity with LLM frameworks is a plus)
- Experience deploying models in cloud environments (e.g., GCP AI Platform/Vertex AI, AWS SageMaker)
- Expertise in causal inference, optimization techniques, and experimental design
- Experience with MLOps frameworks, including model deployment, monitoring, and lifecycle management
- Strong understanding of business impact modeling (e.g., ROI, LTV, incrementality)
- Solid grounding in statistical modeling (e.g., regression, time series, propensity modeling)
- Strong feature engineering and data preparation practices
- Strong problem-solving skills and business acumen
- Ability to communicate complex analytical concepts to non-technical stakeholders
- Attention to detail with a focus on governance and documentation
- Experience operating in cross-company or client-facing delivery models preferred
Location - Our hybrid work structure is an expectation of three (3) days a week in the Atlanta office. This expectation may be adjusted to evolve with the changing needs of the business.
The salary range for this role is $119,000.00 to $155,000.00. This role is also eligible for bonus pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401K, and other benefits to employees.
Job Tags
Full time, Work at office, 3 days per week