Here's what you'll get to do:
- 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.
Here's what you'll need to be successful:
- 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.
Here's what you can expect from us:
- Competitive cash compensation and benefits, the salary range for this position is $170,000 - $180,000 per year.
- Benefits include:
- Medical, dental, and vision packages to meet your needs
- Unlimited vacation policy; take time when you need it
- Eligible for Company’s annual discretionary bonus program
- 401K with employer match up to 4%
- Continuing education stipend
- 16 weeks of paid parental leave
- New MacBooks for employees
- Benefits for Denver Office employees:
- Commuter/RTD benefit
- Quarterly team outings
- In-Office Lunch 3 Days a Week
- We have a great office located just a few blocks away from Union Station in the heart of Denver’s historic LoDo neighborhood–high ceilings, exposed brick, a fully stocked kitchen (snacks, espresso, etc.), and plenty of meeting rooms and brainstorming nooks
- Pet-friendly!
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