Remote Data Scientist

Summary

Join Pacaso's growth-stage company as a Data Scientist to support Advanced Analytics initiatives across the enterprise. This role will play a pivotal part in bringing critical customer insights to multiple stakeholders, utilizing predictive and descriptive analytics to forecast consumer demand, enhance decision making, and drive actions towards strategic priorities.

Requirements

• 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.)

Responsibilities

• 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

Benefits

• 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