Senior Data Scientist

Hotel Brand:
Location: Philippines, Makati City

Hotel: 2 - CRO Manila, 27th Floor, Tower Two, RCBC Plaza,, 6819 Ayala Avenue corner Gil Puyat Avenue, MAKATI CITY, 1200

Job number: 162136

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Key Accountabilities

•    Lead development of high-impact predictive and prescriptive models across multiple domains (advanced segmentation, personalization, pricing, forecasting, advanced measurement)
•    Design and oversee complex experiments, including A/B and multivariate and tests
•    Drive uplift modeling and long-term value prediction to optimize targeting and offers
•    Research/adapt methods for hard problems; lead PoCs; scale viable solutions
•    Partner with business leaders to identify high-value opportunities for predictive model deployment
•    Co-design MLOps (feature store, experimentation, monitoring) with DE/P&T; ensure interoperability & governance
•    Apply causal inference techniques for marketing and product measurement.
•    Publish technical best practices and reusable frameworks

Education

Bachelor’s or Master’s in a quantitative field (ex: mathematics, statistics, data science) or an equivalent combination of education and work related experience

Experience

5-8 years of relevant work experience in Data Science with business-facing impact delivery

Technical Skills and Knowledge

•    Strong SQL (advanced queries, stored procs, performance tuning) and Python programming skills
•    Advanced SQL, Python, and ML and LLM frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch, Gemini)
•    Proficiency deploying models in cloud environments (GCP - BigQueryML & Vertex AI, AWS SageMaker)
•    Proficiency in causal inference, optimization algorithms, and advanced experiment design
•    Expert in GCP/Vertex AI and MLOps orchestration tools
•    Advanced model governance and performance monitoring skills
•    Strong grasp of business impact modeling (ROI, LTV, incrementality)
•    Independent problem solver with strong critical thinking skills and business acumen
•    Strong statistical modeling (logistic/linear regression, time series, propensity modeling)
•    Experimental design (A/B, multivariate)
•    Feature engineering best practices

Who we are

At IHG Hotels & Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You’ll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there’s Room for You at IHG.

Over recent years, we’ve transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests & owners love.

We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That’s why here at IHG, we give our colleagues flexibility and balance – working in a hybrid way, blending office and remote working collectively. We recognise that every role is different, that’s why leaders work with teams to determine how and when they collaborate.

We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow and make a difference.

Our mission is to welcome everyone and create inclusive teams where we celebrate difference and encourage colleagues to bring their whole selves to work. IHG Hotels & Resorts provides equal employment opportunities to applicants and employees without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other category protected by applicable laws. We promote a culture of trust, support, and acceptance. Always welcoming different backgrounds, experiences, and perspectives.

Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.

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Senior Data Scientist