Data Scientist, Customer Experience Product
United States
You will work closely with the team to build and deploy highly performant dynamic pricing models to personalize customer experience products to optimize for conversion rates and overall revenue. You will drive experiments and launch challenger models to test hypotheses and continually improve upon key business metrics. Hopper’s large user base often means that we can get statistically significant results within a short period of time post-launch, making this a dynamic role for a results-driven data scientist.
You may be a great fit for our team if you’re a curious self-starter who thrives in ambiguity, is passionate about exploring the intersection of real business problems with huge (and often messy) data sets, and finding effective ways to simplify and focus on practical opportunities to deliver significant value to our customers.
Minimum Qualifications
- A degree in Math, Statistics, Computer Science, Engineering or other quantitative disciplines
- Extremely strong analytical and problem-solving skills
- Proven ability to communicate complex technical work to non-technical audiences
- A strong passion for and extensive experience conducting empirical research and answering hard questions with data
- A self starter mentality and the ability to thrive in uncertainty
- Experience with relational databases and using SQL to pull and analyze data
- Experience in Pandas, R, SAS or other tools appropriate for data preparation and analysis
- Experience with statistical modeling tools and underlying algorithms
- Experience with business reporting tools such as Tableau, Amplitude
- Proficiency with Unix/Linux environments
Preferred Qualifications
- Experience with revenue management models in travel a plus
- Ability to break down complex business problems down to the data drivers
- Strong ability to communicate models and insights to stakeholders
- Comfortable collaborating with engineering to identify and own data science implementations in production
- Able to design, create and measure consumer facing experiments
- Able to provide thought leadership on pricing and revenue management models
- Able to create ETL pipelines and/or support engineering in the creation of ETL pipelines
Responsibilities
- Frame and conduct complex exploratory analyses needed to deepen our understanding of Hopper users and what drives them to conversion and retention
- Create and deploy powerful dynamic pricing models that power Customer Experience product merchandising on the Hopper app
- Have ownership of the full data science lifecycle, including partnering with product, engineering and operations teams to deliver highly customer focused products.
- Use machine learning and big data tools on large and complex data sets to enhance our data-driven, personalized travel advice
- Create advanced dashboards for product experiment tracking and business unit performance analysis using Amplitude, Tableau and BigQuery/Google sheets
- Find effective ways to simplify and communicate analyses to a non-technical audience
Benefits
- Well-funded and proven startup with large ambitions, competitive salary and stock options
- Unlimited PTO
- WeWork All Access Pass OR Work-from-home stipend
- Entrepreneurial culture where pushing limits and taking risks is everyday business
- Open communication with management and company leadership
- Small, dynamic teams = massive impact
- 100% employer-paid telemedicine, medical, dental, vision, disability and life insurance plans
- Access to a Retirement Savings Plan
At Hopper, we’re on a mission to build the most customer-centric travel company on earth. We are leveraging the power that comes from combining massive amounts of data and machine learning to build the world’s fastest-growing mobile first travel marketplace - one that enables our customers to save money and travel better. It’s cheaper to purchase travel with Hopper!
Hopper’s goal is to reduce traveler anxiety throughout all stages of the trip buying process. By creating a transparent travel marketplace and unique, data-driven financial technology products focused on providing peace-of-mind, Hopper adds value along each step of the customer’s journey.
Recognized as one of the world’s most innovative companies by Fast Company three years in a row, Hopper has been downloaded over 60 million times and sees over 1.9 million new installs per month. Our revenue growth is up 330% versus 2020 as we continue to outperform market recovery.
Now we're laying the groundwork for continued expansion in 2021 by adding great people to our team who can help us compete with the travel giants. Come take off with us!
Tags: Amplitude Big Data BigQuery Computer Science Engineering ETL Linux Machine Learning Pandas Pipelines R RDBMS Research SAS SQL Statistical modeling Statistics Tableau
Perks/benefits: Career development Competitive pay Equity Health care Home office stipend Insurance Startup environment Travel Unlimited paid time off
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