Apr 25
Our goal is to help you go from excellent to great since we know that ML and technology can help you do just that. Our data science managers are action-oriented, detail-oriented leaders who can effectively create a clear vision and guide their team members in carrying it out.
Drive the growth of your team and build a diverse, entrepreneurial team. You are a developer of people. You love leading diverse teams of professionals with both qualitative and quantitative backgrounds using data-driven and insights-led approaches to respond quickly in a dynamic, competitive, and fast changing industry.
Get your hands dirty. Tackle complex problems in the online travel and ecommerce space using a range of ML and data analysis methods. Use our huge data repositories to push our business metrics to their bounds, directly and indirectly. Foster a culture that constantly raises the bar for us and others and supports the freedom to explore and innovate.
Work on tough problems. Can we detect causation between metrics and bookings? How can automatically answer our users’ questions? How do we tune our AB testing platform to ensure we aren’t optimizing noise? How do we measure experiment success to properly trade off type I and II errors? What is the ideal caching strategy for prices and how do build an ML model to implement it? How can you detect anomalies within more than one million time-series that we track daily? Can you separate between bots and human traffic? Can you make our across-data-centers replication into smart replication using ML models? These are just a few of the diverse questions we tackle and some which you will lead your team to crack. You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
Deliver results. Work directly with the heads of the business departments and the product management team. Influence them with compelling product ideas based on data insights that can move the dial on our business.
Balance quantitative data analyses with qualitative user insights to uncover how our users book travel to drive new and existing product impact.
Build, validate, test, and deploy machine learning or other data science models to predict and influence the behavior of consumers with the goal of optimizing products & processes.
Test and validate insights via rapid experimentation and deployment.
Interface with business/operation teams and key stakeholders at all levels to formulate solutions & product changes informed by your findings.
Leverage data to help the business answer questions around further expansion, products, process optimization, cost optimization, customer acquisition/retention/churn and any other business goals that can be addressed through data insights.
Form strong, cross-functional relationships with designers, product managers, software developers, and marketers who build, design, and optimize our technology and tools.
Vast analytical problem-solving capabilities & experience.
Experience in leading a team of both researchers and analysts preferably in an ecommerce, tech, banking, advertising or management consulting environment.
Statistical knowledge and extreme proficiency in SQL. Comfortable with R, Python and Tableau. Experience with big data technologies (Hadoop/Vertica) is a plus.
Strong understanding and implementation experience of predictive modeling algorithms such as regressions, time series, neural networks, clustering, decision trees and heuristic models, with familiarity dealing with tradeoffs between model performance and business needs.
Experience combining user research and data science methodologies across multiple products and teams.
Experience with research applications pertaining to user experience, marketing, and market insights.
Fantastic communication skills that enable you to work cross-functionally with product managers, tech geeks and design gurus, building solid relationships with a diverse set of stakeholders.
The ability to convey complex solutions to a less technical person.
Bias for action.
Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred.