Data Scientist - Pacaso

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