Kuiper Consumer Senior Data Scientist, Project Kuiper

Are you passionate about bringing connectivity to underserved customers? Do you want to work in a dynamic team building, launching and operating a satellite service for consumers from the ground up?

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. Project Kuiper is looking for a talented individual to deliver Europe Business Analytics. This role is responsible for developing and optimizing metrics to track business growth, subscriber acquisition, and demand planning; as well as field operations volume, customer contacts, and inventory trends for operational planning in Europe. The ideal candidate is a self-starter who is comfortable upholding high standards across a wide range of domains, can manage responsibility for large scale business impact and can communicate effectively with executive audiences. They are comfortable working with data science and engineering teams to use data and infrastructure environments as well as with business audiences to quantify business impact and establish roadmaps.

This position may require access to information, technology, or hardware that is subject to export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Employment in this position is contingent upon obtaining any required export licenses or other approvals from the United States government. As such, the successful candidate must be eligible to obtain any necessary export licenses or approvals based on their nationality, citizenship, and any other factors considered by the applicable export control regulations.

Key job responsibilities

1. Create a scalable customer insight mechanism (e.g. conjoint)
2. Define metrics to identify drivers of subscriber acquisition, retention, and overall business health
3. Develop recurring competitive insights and pricing trend analysis
4. Collaborate with Regional Leads to identify gaps and trends to drive actionable insights across Europe
5. Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholders
6. Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format
7. Architect standardized data models in the data warehouse for analysis and long-term reporting
8. Work with product teams to identify gaps and trends
9. Analyze large data sets using a variety of database query and visualization tools

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Fluency in statistical concepts and advanced statistical techniques - distributions, confidence intervals, time series analysis, regression models, clustering.
• Experience with statistical analysis tools (such as R), root cause analysis, process design and control.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

• Experience in technology, media, or telecommunications; satellite internet; or subscription services
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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