About the Role

Senior Data Scientist role at Project Kuiper focusing on global demand forecasting for satellite broadband. Responsibilities include designing scalable solutions, integrating data sources, and collaborating with cross-functional teams to optimize capacity planning. Requires expertise in statistical modeling, forecasting, and data pipeline management.

Key Responsibilities

• Work cross-functionally to execute long-term vision for global demand forecast
• Design and deliver modern, scalable solutions to integrate data and improve forecast accuracy
• Collaborate with capacity planning science team to ensure seamless demand forecast integration
• Lead technical roadmap definition for pre-launch, early-launch, and mature business phases
• Synthesize and communicate insights to drive change across Kuiper

Required Skills & Qualifications

Must Have:

• 4+ years of data scientist experience
• 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical software (e.g., R, SAS, Matlab)
• Experience with statistical models (e.g., multinomial logistic regression)
• Experience developing forecasting methodologies
• U.S. citizenship, permanent residency, or lawful admission as refugee/asylum due to export control

Nice to Have:

• Master's degree in a quantitative field (e.g., statistics, mathematics, data science, engineering)
• Experience managing data pipelines
• Experience working with scientists, economists, software developers, or product managers
• 3+ years of data visualization experience (e.g., AWS QuickSight, Tableau, R Shiny)
• Experience with large-scale distributed systems (e.g., EMR, Spark, Hadoop, Hive)
• Hands-on experience building ML or optimization models using tools like AWS SageMaker

Benefits & Perks

• Medical benefits
• Financial benefits
• Other benefits (e.g., equity, sign-on payments)