Ownwell

Company Background:

Ownwell has developed a leading end-to-end property tax solution that is purpose-built for SFR and CRE investors, operators, and property managers. We have brought Data Science and Machine Learning to a space that is ripe for disruption. We combine a best-in-class technology stack with local market expertise to reduce expenses, increase Net Operating Income, and drive operational efficiency for both our institutional clients and individual homeowners. Ownwell’s solution ensures you have the necessary tools, resources, and information to confidently manage your property taxes.

Ownwell has been recognized both in Austin and Nationally, as a top workplace by the likes of Fortune, BuiltIn, Inc, and Best Places To Work. We are well-funded and venture-backed by some of the best investors in the world such as First Round Capital and Bessemer Venture Partners. Our customer base has grown by more than 300% year-over-year with exceptional feedback demonstrating clear product market fit. We are looking for driven and passionate team members who thrive in a collaborative, positive culture where we all win together. If this sounds like the place for you, come help us change the way everyday homeowners manage their real estate across the country.

Our Culture

People are our superpower! Centered in everything we do is a true sense of team. We listen and we learn from each other. We are on this rocketship together and embrace a fast-paced, truly collaborative environment. We are here to win as a team and as a company.

We’ve brought together General Appraisers, Certified Public Accountants, Property Tax Consultants, Data Scientists, PhDs, best-in-class customer support representatives, and more to deliver top results for our customers.

Our core values are our guiding principles in everything we do

• Customer Obsession
• Take Ownership
• Do The Right Thing
• Go Far Together
• Accelerate Innovation

Meet The Engineering Team

Ownwell’s engineering team is the backbone of our technology, building and scaling the systems that power our mission. We’re a tight-knit group of builders— engineers, scientists, and problem solvers—who collaborate closely with product, marketing, operations and sales teams to deliver tools that make a real impact for property owners. We value curiosity, ownership, and a willingness to tackle tough challenges head-on. If you enjoy working in a fast-paced environment where your ideas shape the future of the company, you’ll fit right in.

As a Data Scientist at Ownwell, you’ll play a pivotal role in leveraging data to refine and enhance our proprietary technology. You will build predictive models, conduct analyses, and develop machine learning algorithms to uncover insights that drive strategic business decisions. Your work will directly support product innovation, marketing effectiveness, operational efficiency, and customer satisfaction.

Responsibilities:

• Develop and deploy predictive models and machine learning solutions to optimize business processes and enable new products and use-cases.
• Analyze large, complex datasets to generate actionable insights, inform strategy, and improve operational efficiency.
• Collaborate closely with product teams, engineers, and business stakeholders to integrate data science solutions into customer-facing and internal systems.
• Design and execute experiments to validate and enhance product features and business initiatives.
• Continuously improve data quality, model performance, and data governance practices.
• Maintain and optimize data pipelines and analytical processes, ensuring scalability and reliability.
• Stay abreast of emerging trends in data science and machine learning methodologies to inform and elevate Ownwell’s data capabilities.

Requirements:

• 2+ years of professional experience in data science or analytics roles.
• Proficiency in Python for data analysis and machine learning. We do not use R and are exclusively looking for people who are proficient in Python.
• Familiarity with SQL, including querying databases, data manipulation, and relational database concepts.
• Experience developing and deploying machine learning models in production environments.
• Understanding of statistical methods and experiment design.
• Familiarity with cloud services, such as AWS, for data processing and model deployment.
• Excellent communication skills, with the ability to clearly present analytical findings to non-technical stakeholders.