Why this role   

As a tech-enabled disruptor in the vacation rental industry, Evolve is professionalizing the category by leveraging data science to capitalize on opportunities across the vacation rental ecosystem. The projects we work on aim to fundamentally change how guests interact with vacation rentals and how homeowners maximize rental income generation. As a member of the Core Data Science team, you will be responsible for building  machine learning products using a combination of modeling, software development, exploratory analysis, and data strategy to transform how a business domain is able to operate.

Come join our fast-paced growth-stage culture working alongside other talented data professionals in an environment that invites and necessitates professional growth and learning while enjoying the support of a well funded company - we’ve raised over $235M in investment capital from world-class investors like Durable Capital, T. Rowe Price, and Allen & Company.

What you’ll do

• Build, deploy, and monitor machine learning algorithms that have a sustained business impact (such as LTV prediction, fraud detection, and sentiment classification)
• Develop software that allows new models to be reliably deployed and monitored
• Develop endpoints that allow other services to interact with model predictions
• Employ retrospective statistical methods to enhance domain understanding
• Partner deeply with cross-functional leaders to gain domain knowledge, challenge existing assumptions, and develop data product roadmaps
• Effectively communicate complex and ambiguous information to technical and non-technical stakeholders 
• Leverage internal and 3rd party experimentation capabilities to measure the impact of new solutions 
• Accelerate continual improvement on the data science team by sharing learnings and providing feedback on other challenging projects around the company
• Innovate on existing strategies by researching and applying techniques from other leading data science teams outside of Evolve

What makes you a great fit

• 5+ years of data science related work 
• Bachelor’s degree in Computer Science, Statistics, or related quantitative field, Masters or PhD preferred
• Strong programming experience with Python and SQL, ideally in a full-stack machine learning setting
• Software development understanding to be able to create high quality, well-documented, and well-tested production code
• Proven track record of business impact from models you took from prototype to production 
• Experience working in a collaborative environment and communicating effectively with a variety of stakeholders
• Experience with generative AI, large language models, or text to SQL preferred

Location 

U.S 

Compensation

Exempt

Annual base salary range: $150,000-$190,000, depending on relevant experience