What would your day-to-day look like:
- Collaborating with cross-functional product teams to build a detailed understanding of business requirements and product construction as it relates to pricing.
- Data engineering to create appropriate datasets for analysis and modeling.
- Implementing automated, reusable ML training pipelines
- Creating and pushing models to production
- Monitoring pricing models to identify weaknesses and opportunities
- Running A/B tests on new data sources, improved algorithms, and different product levers.
- Responding to ad hoc requests from our business partners to analyze historical performance and deep-dive into anomalies or diagnose the impact of external events.
An ideal candidate has:
- A BSc or MSc in a highly quantitative field like math, physics, statistics, or economics.
- Two or more years experience applying data analysis and predictive modeling skills in a fast-paced business environment.
- Excellent communication skills and creative problem solving ability.
- Strong coding skills with SQL and Python.
- A highly pragmatic approach that values business impact over statistical nuance.
Perks and benefits of working with us:
- Well-funded and proven startup with large ambitions, competitive salary and upsides of pre-IPO equity packages.
- Hopper offers a monthly cash allowance to supplement costs related to private Medical, Dental and/or Life insurance coverage.
- Employees in Ireland have the option to contribute to a PRSA (private retirement savings account) with Irish Life.
- Please ask us about our very generous parental leave, much above industry standards!.
- Unlimited PTO.
- Flexdesk Access Pass AND Work-from-home stipend.
- Carrot Cash travel stipend.
- An entrepreneurial culture where pushing limits and taking risks is everyday business.
- Open communication with management and company leadership.
- Small, dynamic teams = massive impact.

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