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Job Description
About Pacaso:
Pacaso exists to enrich lives by making second home ownership possible and enjoyable for more people. Our innovative co-ownership model is the easiest, smartest and most responsible way for people to experience the joy of a second home. We provide all the benefits of true ownership without the hassles through our simplified financial structure, easy and equitable scheduling, and dedicated local property management.Founded by former Zillow executives, Pacaso has facilitated over $1 billion in gross real estate transactions and service fees across more than 40 markets nationwide, as well as internationally in Paris, London, and Cabo.
We have been featured in The New York Times, Wall Street Journal, Fortune, Forbes, CNBC and more.Pacaso is a certified Great Place to Work and has received numerous accolades for its workplace culture. Fortune and Great Place To Work named Pacaso to the 2024 Best Workplaces in Real Estate list. In 2023, Pacaso was recognized as a Best Workplace in the Bay Area , and in 2022, it ranked among the Best Medium Workplaces , Best Workplaces for Real Estate , and Best Workplaces for Millennials . Additionally, Pacaso was ranked #6 on Glassdoor's 2022 list of Best Places to Work and was one of LinkedIn's top startups in 2022.
About the Role
As a Data Scientist you will be an early crew member at a growth-stage company led by some of the most seasoned and successful leaders in the real estate and travel space. This position will support Advanced Analytics initiatives across the Pacaso enterprise. Reporting to the Chief Technical Officer you will play a pivotal role in bringing critical customer insights to multiple stakeholders across Pacaso including Marketing, Sales and Product teams. This role will be part of a multi-functional agile team responsible for using predictive and descriptive analytics to forecast consumer demand, enhance decision making and drive actions towards Pacaso's strategic priorities.
What you will do
- Identify and apply appropriate methods to acquire, explore, cleanse, and fuse data from different sources.
- Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via dashboards, and automated reporting
- Efficiently communicate analyses and recommendations to cross functional stakeholders for decision making
- Support the adoption of analytic products through effective storytelling and collaboration with key partners.
- Designing and analyzing experiments to measure the impact of new product features
- Building models to predict the growth trajectory of different customer segments
- Effectively document new business intelligence tools and processes, as well as maintain documentation for existing tools as development changes over time.
Skills/ Qualifications
- 5+ years experience developing analytical insights across teams
- Strong SQL querying skills and database skills
- Knowledge of at least one modern scripting language (preferably Python or R)
- Expert knowledge of data visualization tools and techniques (Tableau, Looker, Power BI, D3)
- Experience with cloud data technologies and tools (AWS preferred)
- Understanding of ML algorithms (SVM's, gradient boosted decision trees, deep neural networks, etc.)
- Experience with consumer engagement modeling, funnel optimizations etc. preferred
Compensation
- Range around $153k with equity
You'll love working at Pacaso because of our ...
- Competitive salary and stock options.
- Unlimited, flexible PTO for exempt employees.
- Excellent medical, dental and vision insurance.
- Sponsored memberships to One Medical, Ginger and Carrot.
- 401(k) to help you save for the future.
- Paid maternity and paternity leave.
- Generous home office stipend and monthly cell phone reimbursement.
- Quarterly remote team building events and L&D opportunities.
Pacaso encourages applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities.
