Applied Sr Data Scientist

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.