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.
