Senior Data Scientist (Remote)
PriceLabs is a revenue management solution for the short-term rental and hospitality industry, founded in 2014 and headquartered in Chicago, IL. Our platform helps individual hosts and hospitality professionals optimize their pricing and revenue management, adapting to changing market trends and occupancy levels.
With dynamic pricing, automation rules, and customizations, we manage pricing and minimum-stay restrictions for any portfolio size, with prices automatically uploaded to preferred channels.
Every day, we price over 300,000+ listings globally across 135+ countries, offering world-class tools like the Base Price Help and Minimum Stay Recommendation Engine.
Our customer base grew 10x since 2019 and in 2022:
- Our team grew 3x
- We raised $30 million in funding from Summit Partners
- We joined hands with Rental Scale-Up to deliver in-depth market insights and actionable news to hosts & property managers
We continue to grow exponentially backed by a strong team to take us to the next level.
- Work with an industry-leading product that has thousands of customers worldwide, and our customers love the product! (NPS in the 70s, Customer reviews here)
- Work with a global team (8 countries and counting) of passionate individuals that accept open communication, empowerment, and a shared focus on customer success.
- We are a freemium product, so marketing leads the charge on customer acquisition.
- We are a remote-first organization and accept work from home as the norm.
- Design, develop and enhance our pricing algorithms to enable new capabilities.
- Process, analyse, model, and visualise findings from our market-level supply and demand data.
- Build and enhance internal and customer-facing dashboards to better track metrics and trends that help customers use PriceLabs in a better way.
- Take ownership of product ideas and design discussions.
- Occasional travel to conferences to interact with prospective users and partners, and learn where the industry is headed.
- You have a minimum of seven (7) years of relevant experience.
- Strong understanding of analysis of algorithms, data structures and statistics.
- Solid programming experience. Including being able to quickly prototype an idea and test it out.
- Strong communication skills, including the ability and willingness to explain complicated algorithms and concepts in simple terms.
- Experience with relational databases and strong knowledge of SQL.
- Experience building data-heavy analytical models in the travel industry.
- Prior experience working in a fast-paced environment.
- Willingness to wear many hats.
- Masters/ or Ph. D. in Economics or Statistics.
- Experience in the vacation rental industry.
- Experience developing dynamic pricing models.
