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AirDNA started with a big dream in a warm California garage in 2015. Since then, the tech 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 eradicates guesswork and provides Airbnb hosts with smart and competitive insights required to succeed in the ever-changing short-term rental landscape.
We also equip enterprise clients with tailored reports and comprehensive dashboards to ensure they can scale and invest strategically. These customers include hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations worldwide.
We monitor the daily performance of more than 10 million Airbnb and Vrbo properties across 120,000 global markets. We also gather data from over a million partner properties. This combination of scraped and source data, augmented by our proprietary algorithms, makes our solutions the most accurate and comprehensive worldwide.
We're firm believers that data isn't the endpoint; it's the starting point. The lift-off pad. The bedrock for any future-oriented business.
The AirDNA Team
At AirDNA, we’re a team of data nerds on a mission to empower our customers to intelligently expand their businesses. And we’re searching for a team leader who can adopt an agile approach to help us construct sophisticated and scalable acquisition strategies. In short: Life is never dull here. And we genuinely embody our company values: Happy, Hungry, and Honest. People who are ready to embody these values are particularly encouraged to apply. We invite you to apply even if you are uncertain about meeting every single requirement in this posting. We consider every application carefully, not just those that tick all the boxes.
The Role:
As a Senior Data Scientist working on software for short-term rental hosts, you will play an important role in leveraging data-driven insights to design, develop, and maintain software solutions that enable our hosts to efficiently manage their rental properties, streamline operations, optimize pricing, and provide exceptional guest experiences. At AirDNA, models are at the heart of all our systems. A Senior Data Scientist is responsible for setting strategies and implementing them to continuously improve our data in a fast-paced industry. You will collaborate with cross-functional teams, including product managers, engineers, and designers, to create user-friendly and impactful tools that empower hosts and maximize their rental business potential.
Here's what you will do:
- Guide the strategy for creating or improving ML systems that empower short-term rental hosts to make improved decisions, such as, pricing optimization, dynamic inventory management, demand forecasting, guest profiling, and review sentiment analysis.
- Utilize advanced data analysis, statistical modeling, and machine learning techniques to extract actionable insights from complex and diverse datasets, including host performance data, guest behavior data, and market trends.
- Work closely with product managers, engineers, and designers to define product requirements, prioritize features, and ensure the successful delivery of software tools that meet the needs of short-term rental hosts.
- Develop predictive models, algorithms, and optimization techniques to empower hosts in making data-driven decisions regarding pricing strategies, occupancy rates, availability management, and revenue maximization.
- Drive the implementation and integration of data science models and algorithms within the software infrastructure, ensuring scalability, reliability, and performance.
- Stay informed about the latest advancements in data science, machine learning, and software development, and apply emerging technologies and methodologies to enhance the capabilities and impact of our software tools.
- Create and implement strategies to source and utilize short-term rental training data at scale.
- Create processes to continuously monitor and improve the performance of our models.
Here's what you'll need to succeed:
- 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, with a focus on software development and advanced analytics.
- A proven record of designing, developing, and deploying successful software solutions powered by data science and analytics.
- Experience in revenue management, price optimization, time-series, or forecasting is a strong plus.
- Strong expertise in programming languages such as Python, with proficiency in data manipulation and analysis libraries (e.g., Pandas, Scikit-learn, XGBoost, or TensorFlow).
- Proficiency in SQL and database management systems.
- Expertise in working with large data sets in distributed systems such as 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, the range for this position is $150,000 - $175,000 per year.
Colorado Salary Statement: The salary range shown is particularly for potential hires working or residing in the state of Colorado if selected for this role. Any salary offered is decided based on internal equity, internal salary ranges, market data/ranges, applicant’s skills and former relevant experience, certain degrees, and certifications.
Benefits include:
Medical, dental, and vision packages to meet your needsUnlimited vacation policy; take time when you need it Eligible for Company’s annual discretionary bonus program401K with employer match up to 4%Continuing education stipend16 weeks of paid parental leaveNew MacBooks for employeesAirDNA seeks to attract the best-qualified candidates who back the mission, vision, and values of the company and those who respect and promote 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,
