Senior Data Scientist, AirDNA
$170-180k
Salary applicable to Colorado residents, other remote locations may differ
Short-term vacation rental data
Open for applications
Short-term vacation rental data
101-200 employees
Open for applications
$170-180k
Salary applicable to Colorado residents, other remote locations may differ
101-200 employees
Company mission
To empower hosts, investors, and businesses with the most accurate tools to succeed in the vacation rental space.
Role
Who you are
- Bachelors, 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
- Proven track record of designing, developing, and deploying successful software solutions powered by data science and analytics
- Experience in short-term rental investment, 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, PyTorch or TensorFlow)
- Proficiency in SQL and database management systems
- Expertise working with large data sets in distributed systems such as pyspark and snowflake
- Experience in ML engineering, cloud-based deployment and model lifecycle management
What the job involves
- At AirDNA, we’re a team of data nerds on a mission to empower our customers to smartly grow their businesses
- And we’re on the hunt for a team leader who can take an agile approach to help us build sophisticated and scalable acquisition strategies
- As a Senior Data Scientist working on software for short-term rental hosts, you will play a key role in leveraging 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, and deliver exceptional guest experiences
- At AirDNA, models are at the heart of all of our systems
- A Senior Data Scientist is responsible for setting and implementing strategies to continuously improve our algorithms in a fast-changing 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 potential
- Guide the strategy for creating or improving ML systems that empower short-term rental hosts to make better decisions, such as estimating revenue potential, 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 investors and hosts
- Develop predictive models, algorithms, and optimization techniques to empower hosts in making data-driven decisions regarding, comp sets, 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 up-to-date with 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
Our take
Short-term rentals are continuing to boom, and the demand for actionable rental data is growing. AirDNA solves that problem by offering predictive analysis software for rental operators.
AirDNA's machine learning algorithms track the daily performance of over 10 million property listings worldwide, and offer highly valuable insights for Airbnb hosts, rental managers, hoteliers and investors. The company was acquired by Alpine Investors in 2022, which is a testament to the desirability of its product.
With their recent acquisition, AirDNA now has access to more funding and more customers. They will need to invest in their innovation and outreach in order to maintain and grow their market share.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
36% employee growth in 12 months
Company
Company benefits
- 62 days per year to work from anywhere!
Company values
- Honest: We have a strong feedback culture. Integrity is the backbone of our data, insights, and customer relationships.
- Happy: We show up with a smile on our faces and are happy to support our team members.
- Hungry: We are never satisfied with the status quo and are always looking to deliver more value to our customers.
Company HQ
Sant Gervasi - Galvany, Barcelona, Spain
Articles
Leadership
Demi Hovart
(CEO, not founder)COO at AirDNA before becoming CEO. Was previously VP, Growth Team at Serent Capital.
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