Kuiper Consumer Senior Data Scientist Project Kuiper

Amazon
London
3 weeks ago
Create job alert
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 lowlatency highspeed 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 the Europe. The ideal candidate is a selfstarter 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
Create a scalable customer insight mechanism (e.g. conjoint)
Define metrics to identify drivers of subscriber acquisition retention and overall business health
Develop recurring competitive insights and pricing trend analysis
Collaborate with Regional Leads to identify gaps and trends to drive actionable insights across Europe
Deliver comprehensive written strategy documents considering different types of data and inputs across a broad range of stakeholders
Enable decisionmaking by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format
Architect standardized data models in the data warehouse for analysis and longterm reporting
Work with product teams to identify gaps and trends
Analyze large data sets using a variety of database query and visualization tools


Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
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 largescale complex datasets

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Noticeto know more about how we collect use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Senior IC


Key Skills
Children Activity,Disaster Recovery,Litigation,Environmental Science,Administration Support,Asic
Employment Type :Full-Time
Experience:years
Vacancy:1

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.