Job Description
Responsibilities:
- 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.
Qualifications/ Skills:
- Vast analytical problem-solving capabilities & experience.
- Experience in leading a team of both researchers and analysts preferably in an e-commerce, 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/Ph.D.) in Computer Science, Economics, Engineering, Operations Research, Physics, or Mathematics/Statistics preferred.
Other Details
About Company
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