Job Description

Posted on:

October 27, 2024

AirDNA began with a big dream in a balmy California garage in 2015. Since then, the technology startup has grown into the leading provider of data and business intelligence for the billion-dollar travel and vacation rental industry—with offices in Denver and Barcelona. Our self-serve MarketMinder platform eliminates guesswork and equips Airbnb hosts with smart and competitive insights needed to succeed in the ever-evolving short-term rental landscape. We also arm enterprise clients with customized reports and in-depth dashboards to ensure they can scale and invest strategically, serving hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations around the world. We track the daily performance of over 14 million Airbnb, Vrbo, & Booking.com properties across 120,000 global markets, collecting data from thousands of partner properties. This combination of scraped and sourced data, enhanced by our proprietary algorithms, makes our solutions the most accurate and comprehensive in the world. We firmly believe that data isn’t the destination; it’s the starting point—the launchpad and bedrock for any future-forward business.

The AirDNA Team: At AirDNA, we’re a team of data nerds on a mission to empower our customers to smartly grow their businesses. We’re looking for a team leader who can take an agile approach to help us build sophisticated and scalable acquisition strategies. Life is never boring here, and we genuinely live and breathe our company values: Happy, Hungry, and Honest. People who are ready to exemplify these values are especially encouraged to apply. We invite you to apply even if you are unsure about whether you meet every single requirement in this posting; we carefully consider every application.

The Role: As a Senior Data Scientist working on software for short-term rental hosts, you will leverage data-driven insights to design, develop, and maintain software solutions that enable our hosts to:

  • Effectively invest in short-term rentals
  • Manage their properties
  • Streamline operations
  • Optimize pricing
  • Deliver exceptional guest experiences

As a Senior Data Scientist, you will be responsible for:

  • Guiding the strategy for creating or improving ML systems that empower short-term rental hosts, focusing on estimating revenue potential, pricing optimization, demand forecasting, and review sentiment analysis.
  • Utilizing advanced data analysis, statistical modeling, and machine learning techniques to extract actionable insights from complex datasets.
  • Collaborating with product managers, engineers, and designers to define product requirements and ensure the successful delivery of tools that meet user needs.
  • Developing predictive models and algorithms to help hosts make data-driven decisions regarding pricing strategies and revenue maximization.
  • Driving the implementation of data science models and algorithms to ensure scalability and performance.
  • Creating strategies to source and utilize short-term rental training data at scale and processes for continuous model performance improvement.
  • Staying up-to-date with advancements in data science and software development.

Here's what you'll need to be successful:

  • Bachelor's, Master's, or Ph.D. degree in Data Science, Computer Science, Statistics, or a related quantitative field.
  • Minimum of 5 years of professional experience as a Data Scientist, focusing on software development and advanced analytics.
  • Proven track record of designing, developing, and deploying successful software solutions powered by data science.
  • Experience in short-term rental investment, revenue management, and price optimization is a strong plus.
  • Strong programming skills in Python with proficiency in data manipulation and analysis libraries (e.g., Pandas, Scikit-learn, XGBoost, PyTorch or TensorFlow).
  • Proficiency in SQL and database management systems, with expertise in working with large datasets in distributed systems like PySpark and Snowflake.
  • Experience in ML engineering, cloud-based deployment, and model lifecycle management.

Here's what you can expect from us:

  • Competitive cash compensation and benefits, with a salary range of $170,000 - $180,000 per year (specifically for those who will work or reside in Colorado).
  • Benefits include:
    • Medical, dental, and vision packages
    • Unlimited vacation policy
    • Annual discretionary bonus program
    • 401K with employer match up to 4%
    • Continuing education stipend
    • 16 weeks of paid parental leave
    • New MacBooks for employees
  • Denver Office perks include:
    • Commuter/RTD benefit
    • Quarterly team outings
    • In-Office Lunch 3 Days a Week
    • Pet-friendly environment
    • A great office located just a few blocks from Union Station in Denver’s historic LoDo neighborhood

AirDNA seeks to attract the best-qualified candidates who support our mission, vision, and values while promoting excellence through diversity. We are committed to providing equal employment opportunities (EEO) to all employees and applicants without regard to race, color, creed, religion, sex, age, national origin, citizenship, sexual orientation, gender identity and expression, physical or mental disability, marital, familial or parental status, genetic information, military status, or veteran status. This applies to all terms, conditions, and privileges of employment, including but not limited to hiring, assessments, placement, benefits, promotion, and termination.

We are committed to making our application process and workplace accessible for individuals with disabilities. Upon request, AirDNA will provide reasonable accommodations to applicants unless doing so would create an undue hardship. To request accommodation, please email compliance@airdna.co. Please allow for 24 hours to process your request.

Secret insights

AirDNA is scaling up fast with 151 employees, showing a massive 50% growth in just a year! Engineering team is up 30%, indicating strong tech investment. HR also expanded, showcasing care for talent. Great for AI pros seeking growth and support!