Data Scientist – Advanced Experimentation

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November 22

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American Express Global Business Travel

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B2B • Transport • SaaS

American Express Global Business Travel is a company providing comprehensive corporate travel management services. It offers technology-driven solutions to help businesses manage and optimize their travel programs efficiently, providing a range of services including booking, travel policy compliance, expense management, and reporting. The company supports clients worldwide, catering to a diverse range of languages and cultural needs, and is aimed at enhancing business travel experiences through innovation in the travel industry.

10,000+ employees

Founded 2014

🤝 B2B

🚗 Transport

☁️ SaaS

📋 Description

• Advance Experimentation Methodologies: Design and implement sequential testing to detect winners faster to shorten experiment duration while maintaining statistical rigor. • Explore and prototype Bayesian approaches, adaptive sampling, and other intelligent allocation methods to optimize traffic efficiently. • Partner with teams to evaluate and introduce causal inference techniques to improve the reliability of experiment results and reduce bias. • Improve Data and Infrastructure: Collaborate with GBT platform engineering to integrate statistical models into the experimentation platform. • Ensure experimentation data pipelines are reliable, scalable and consumable for advanced statistical methods. • Research and Innovate: Stay current on advancements in statistical testing and adaptive experimentation. • Propose and test innovative methodologies to improve experiment platform and decision quality.

🎯 Requirements

• At least 5 Years essential experience in A/B Testing and advanced experimentation. • Fluency in English, written and spoken. • Knowledge in Python, SQL, Hive, Tableau, Hadoop, product analytics (e.g. Google Analytics), Amazon AWS or GCP or Azure Platforms. • Subject matter knowledge in statistics, analytics, data science, machine learning, deep learning, cloud and full stack technologies. • Hands-on experience analyzing large amounts of data to derive actionable insights. • Degree in statistics, computer science, mathematics, operations research, economics, engineering or information science. • A strong portfolio of GitHub, Kaggle, IP contributions.

🏖️ Benefits

• Flexible benefits are tailored to each country and start the day you do. • Health and welfare insurance plans. • Retirement programs. • Parental leave. • Adoption assistance. • Wellbeing resources to support you and your immediate family. • Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. • Access to over 20,000 courses on our learning platform. • Leadership courses and new job openings available to internal candidates first. • Connect with colleagues through our global INclusion Groups, centered around common identities or initiatives.