Senior Data Scientist, AirDNA
$170-180k
Salary applicable to Colorado residents, other remote locations may differ
Short-term rental data analytics
Job no longer available
Short-term rental data analytics
101-200 employees
Job no longer available
$170-180k
Salary applicable to Colorado residents, other remote locations may differ
101-200 employees
Company mission
To empower our customers to smartly grow their business.
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
The short-term rental market is booming, and with that comes a rising demand for actionable rental data. Enter AirDNA - an industry leader providing predictive analytics software designed to give rental operators the edge they need to succeed.
AirDNA leverages powerful machine learning algorithms to track the daily performance of over 10M property listings around the world, delivering invaluable insights into Airbnb hosts, rental managers, hoteliers, and investors alike.
Acquired by Alpine Investors in 2022, the company is now poised for even more growth, with access to more funding and a broader customer base. To stay ahead in the competitive market, the company will need to double down and is doing so with the recent acquisition of Uplisting, a leading vacation rental software provider. Blending its property management tools with AirDNA's data will help ensure it continues to lead the way in rental data and analytics.
Freddie
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Company benefits
- Generous Vacation Policy
- Continued Education Stipend
- Quarterly Team and Company Outings
- Hybrid Work Environments
- Language Classes
- Dog Friendly Offices
Company HQ
Union Station, Denver, CO
Leadership
Rohit Bezewada
(CEO)Joined AirDNA in 2024 as CEO. Alongside this, they are an Operating Executive at Alpine Investors. Previously they were the COO and CFO of Trucker Tools and worked in Investment Banking at J.P. Morgan and in Business Development at Uber.
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