- 4+ years of experience in data science, applied analytics, or a related quantitative role, or an equivalent record of relevant delivery.
- Strong Python and SQL skills, with hands-on experience developing analytical or machine-learning solutions using real-world data.
- Background in statistics, mathematics, economics, computer science, or a related quantitative discipline, gained through study or applied experience.
- Hands-on experience using AI tools in research and software development.
- Applied experience with statistical modeling, forecasting, and experimental methods.
- Proven ability to collaborate with business and technical teams to develop and deliver data-driven solutions and communicate analytical findings and trade-offs to a range of audiences.
- Useful Experience:
- Cloud data platforms, automated analytical workflows or applied optimization.
- Developing and deploying AI-enabled applications, including evaluation and monitoring.
- Experience in travel, payments, fintech or another transaction-driven business.
The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.
For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.