Senior Data Scientist, Lodging Pricing

About The Job

You will play a pivotal role in tackling data and engineering challenges aimed at enhancing Hopper's ability to effectively price its lodging offerings, making Hopper the best place to book hotels and vacation rentals.

This role has a tremendous impact on the vision and success of the company. It's a unique opportunity to join one of Hopper's strategic lodging teams, and get access to fascinating and massive market and behavioral pricing data sets. Your main responsibility will revolve around taking charge of our pricing analytics and prediction, ensuring data accessibility, and delivering insights that will shape our strategic direction. It’s a huge personal growth opportunity and includes high potential upside of pre-IPO stock options.

In this role you will be part of a cross-functional team of product managers, data scientists, and engineers who work closely together to make travel easier and reach millions of users in the process.

We are looking for someone who has a real bias for action, takes ownership, thrives on autonomy and delivers results. Experience with pricing experimentation or demand forecasting is a requirement for this role.

What Would Your Day-to-day Look Like

• Support our pricing experimentation: Measure the impact of new pricing features and surface insights with a strong and coherent data narratives
• Improve our Pricing Models: Design, develop, test and deploy foundational modeling for pricing recommendations and algorithms to optimize pricing
• Stay on top of our pricing metrics and reporting frameworks: Identify, refine, and track key performance indicators critical to assessing pricing performance. Develop and maintain reporting frameworks that allow for continuous monitoring and reporting of revenue impact and price elasticity
• Work with large and sophisticated datasets: Conduct thorough data analysis using SQL, Python, or R to extract meaningful insights. Clean, transform, and aggregate data from various sources to ensure accuracy and reliability. Develop recommendations for scalable data pipelines and automated reporting systems for implementation by our Engineering teams
• Capture Revenue Optimization Opportunities: By becoming an expert in our data and understanding our customers and demand thoroughly, proactively identify pricing opportunities. Collaborate with the product and engineering teams to implement strategies that capitalize on these opportunities
• Find your own problems to solve: Identify data-related challenges and develop a roadmap to solve these challenges independently. Demonstrate a proactive approach and a commitment to data quality and accuracy
  
  

An Ideal Candidate Has

• Fluency in using SQL and and either Python or R
• Strong oral and written communication skills - an ability to communicate complex technical concepts to a non-technical audience
• Experience of working with large dataset
• High attention to detail and ability to create scalable data solutions
• Worked on a consumer product and has shipped high-impact models at scale
• Experience in launching, analyzing, and setting frameworks for A/B tests with the ability to run statistical tests
  
  

Perks And Benefits Of Working With Us

• Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages.
• Unlimited PTO.
• Carrot Cash travel stipend.
• Access to co-working space on demand through FlexDesk AND Work-from-home stipend.
• Please ask us about our very generous parental leave, much above industry standards!.
• 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 Medical, Dental and Vision coverage for employees.
• Access to Disability & Life insurance.
• Health Reimbursement Account (HRA).
• DCA/ FSA and access to 401k plan.
  
  

#posttoexternal

The yearly total compensation for this senior position ranges from 110 000$ to 300 000$ USD. Compensation will be determined by candidates' relevant qualifications, knowledge, skills and work experience. Total compensation will include a solid base salary and will also include equity (options / RSUs), sign-on bonus and other potential incentives.