Staff Data Scientist, Planet

• 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

Desirable

• 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
• 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