Staff Data Scientist

Welcome to Planet. We believe in using space to help life on Earth.

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

About the Role:

We’re looking for a Staff Data Scientist to join our team, supporting our Platform Product group. In this role, you’ll deliver actionable insights to help Planet better understand our customers. You’ll work closely with leadership across the company to understand and support business needs, and play a crucial role in building a culture of measurement that will be directly reflected in the product roadmap. You’ll also collaborate directly with data/analytics engineers to design data sources and products to best suit your and Planet’s needs. As the most senior individual contributor (IC) on Planet’s Data team, you’ll have the opportunity to mentor more junior data scientists and analysts, and foundationally influence data science best practices as we branch further into applied models, A/B testing, and machine learning. 

This is a full-time, remote position based in the United States.

Impact You'll Own:

• Driving a culture of measurement within our Platform Product group by understanding the vision of our Platform Product team and identifying the key data insights needed to drive that vision and measure success
• Owning the relationship with cross-functional partners across product, engineering, and commercial teams; translating their requirements into a prioritized data science roadmap
• Designing, implementing and delivering clear analyses of customer behavior with actionable recommendations. 
• Effectively communicating results and advocating for recommendations to a broad audience with varying degrees of data literacy
• Acting as the technical leader for the data science and analytics arm of the Data team, including developing best practices for statistical analysis and complex modelling
  
  

What You Bring:

• 12+ years of relevant experience
• Experience working independently with product, engineering and/or business leadership to identify and meet data science needs, leveraging data sourced from internal and 3rd party sources
• Excellent business acumen and the ability to translate business asks into technical analyses and effectively communicate out the results
• Experience mentoring more junior data ICs
• Excellent SQL and Python skills
• Experience with cloud computing platforms (Google Cloud Platform preferred)
• Experience building, maintaining & improving productionized analyses, models or algorithms
• Data warehousing/modelling familiarity sufficient to unblock yourself when presented with a novel data source
  
  

What Makes You Stand Out:

• Passion for building data-driven culture 
• Experience working with geospatial datasets
• Experience working with pipelines built in dbt, and/or with self-service reporting tools like Looker or Omni

#LI-REMOTE

Benefits While Working at Planet*:

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Remote-friendly work environment 
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)