Muthonia Ngatia
Muthoni Ngatia, an Amazon economist, works on bringing Amazon’s services to new countries. She relies on instincts she developed growing up in Kenya, where she learned valuable lessons about human ingenuity and the outsized influence of scarce resources.
Courtesy of Muthoni Ngatia

How Muthoni Ngatia’s childhood in Kenya led her to a career in economics

The Amazon economist says lessons from her mother taught her a lot about how the world works, and why economics plays such a vital role.

To understand how to best serve customers around the world, it’s essential to have employees with diverse and unique perspectives. Muthoni Ngatia certainly fits that definition.

Ngatia, an Amazon economist, works on bringing Amazon’s services, such as Prime, to new countries. In that role she relies on not just her experience as an economist, which includes a stint at the World Bank, but also instincts she developed from growing up in Kenya. Growing up there taught her valuable lessons about human ingenuity and the outsized influence of scarce resources.

Ngatia and her two siblings were raised by a single mother with limited means. That scarcity meant her mother had to make choices about which things were essential — schooling was one of those things.

“Education was really important to her,” Ngatia explained. “I never would have had the educational opportunities I did if my mother hadn’t prioritized our schooling. She pushed hard to scrape together what little she had to give us a better education.”

In addition, her mother’s innovative drive and entrepreneurial spirit provided an early childhood lesson on the importance of access to capital. Ngatia remembers how impactful it was to see the difficulties her mother had when she tried to get startup capital for any of the business ideas she had.

Thinking about how human beings make decisions with scarce resources, and trying to make a simple model that would produce useful predictions is really interesting. The part about scarce resources really resonated with me given my life experiences.
Muthoni Ngatia

“It’s the same for a lot of small business owners in Kenya,” Ngatia said. “They have the talent and the great ideas, but then they're still lacking a connection to get startup capital, or the right opportunities to take what is just a great idea and turn it into something transformational.”

Those twin lessons of grappling with scarcity and experiencing, first-hand, the mechanisms and systems that can dictate what resources are available and how they are distributed inspired Ngatia to eventually pursue a career in economics.

“The heart of economics is that we build models to try and explain human behavior, which is definitely ambitious,” Ngatia said. “As economists, we don't always succeed, but I think we get close. That exercise of taking really complex problems and thinking about human behavior, thinking about how human beings make decisions with scarce resources, and trying to make a simple model that would produce useful predictions is really interesting. The part about scarce resources really resonated with me given my life experiences.”

Ngatia eventually moved to the United States to attend Harvard University, where in 2005 she obtained her bachelor’s degree in applied mathematics and economics. She then attained her PhD in economics from Yale University in 2012, did a year of postdoctoral research work in South Africa, and in 2013 became an assistant professor of economics at Tufts University in Somerville, Mass., not far from her Harvard undergraduate campus.

In 2015, while still an assistant professor at Tufts, she joined the World Bank, where she researched the impact of social programs focused on improving the economic situation of women. Her team conducted experiments to see how various community education programs affected their target population. They would randomize the people that were offered the program and then they would survey participants before and after they participated to assess which aspects of the program had impact, and which did not.

Another project involved research in Niger, Guinea, and Chad aimed at measuring the impact of gender gaps in agriculture and education on a country’s GDP.

“One goal of these reports was to show that ‘women are half of your population, the fact that they are not being encouraged in these fields means that your GDP is much lower than it could be. If you are able to close these gender gaps in education and in agriculture, your GDP could be so much higher,’” she said. “That definitely started a slow path of reform.”

World Bank Group entrance, sign and logo with security guards by entrance doors, winter international financial building
Ngatia joined the World Bank in 2015, where she researched the impact of social programs focused on improving the economic situation of women.
krblokhin/Getty Images

After nearly five years at The World Bank, Ngatia joined Amazon in July 2020. Today, she focuses on how Amazon Prime can best meet the needs of customers in India, including understanding how speed of delivery can contribute to the program’s success there.

“Muthoni comes in with an extremely strong background in economics,” said Charlie Manzanares, senior manager (economist) at Prime and Ngatia’s manager. “Her World Bank experience gives her perspective in two areas: one, she has a global perspective by default, thinking carefully about how peoples’ needs might be different from those in more established marketplaces. And two, the World Bank gave her a lot of experience in creating programs that had real-world impact. She also has experience in experimentation, which is especially important in new marketplaces, where we are on the steepest part of the learning curve in terms of finding out what our customers want.”

Ngatia said she was also drawn to Amazon by the chance to help people around the world whose business ideas currently represent untapped potential. “There are really concrete ways in which Amazon is improving lives for people,” Ngatia said. “There is a potential for the business to be transformative, and that potential is much higher in emerging market segments.”

Similar to her mother, there are other entrepreneurs in countries across the globe who have great ideas, but don’t have the capital or mechanisms to turn their dreams into reality.

“It’s kind of remarkable how familiar India seems,” she said. “And that familiarity from my time in Kenya has helped me work in India because the environments are really similar.”

She offered the example of physical addresses. “There are few street addresses in Kenya in the same way as they are in the US or Europe,” Ngatia explained. “Usually, it's kind of a description; you give someone vague directions, but a street address is really hard to find. And that's similar to how it is in India — and yet, we still have to make deliveries.”

It’s kind of remarkable how familiar India seems. And that familiarity from my time in Kenya has helped me work in India because the environments are really similar.
Muthoni Ngatia

Working at Amazon gives Ngatia the opportunity to have an impact at scale she never imagined could be possible.

“At Amazon, there’s been a lot of support for my learning and ramping up to using a new toolkit and new skill sets,” she says. “I’m still doing economic experiments, but at a scale that I had never really imagined. At the World Bank I might have run an experiment for 3,000 to 5,000 people and with Amazon the scale is much bigger.”

Ngatia said she hopes to encourage more people who come from underrepresented backgrounds to explore a career at Amazon.

“Amazon is taking diversity, especially racial and gender diversity very seriously,” she says. “There have been great efforts to try and hire more diverse economists. It's also really rewarding for me because I am working with recruiting to help them see what the work of an Amazon economist looks like.”

“Amazon was really attractive to me because I can work in an important and growing field in emerging market segments,” she says. “I can also stretch myself in a way that I wasn't being stretched in my last job, and the opportunity to learn has been really great. I would love to be able to work for Amazon in Africa when the opportunity arises, and hopefully the work I’m doing now will inform those business transitions.”

Whatever the future holds, Ngatia sees a clear path to help people like her mother in developing economies around the world.

“One way that Amazon will be transformational in developing economies is creating opportunities for a lot of these small businesses,” she said. “Just offering a store for them to sell their products — that can give them the boost they need to get started.”

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AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by 2040 —10 years ahead of the Paris Agreement. We invited others to join us and there are now more than 300 businesses and organizations across 51 industries and 29 countries that have signed the Pledge, which means we are collectively coming at the climate crisis from nearly every sector and nearly every angle. As part of our efforts to decarbonize our business, we became the world’s largest corporate purchaser of renewable energy in 2020, and last year, we reached 85% renewable energy across our business, and are on a path to power our operations with 100% renewable energy by 2025. We recently announced that AWS will be water positive by 2030, returning more water to communities than it uses in its direct operations. The company also announced its 2021 global water use efficiency (WUE) metric of 0.25 liters of water per kilowatt-hour, demonstrating AWS’s leadership in water efficiency among cloud providers. To learn more about AWS’s water+ commitment visit: Water Stewardship. Come join the team that is building the tools and innovative technology to manage our growing portfolio of renewable energy investments, including solar, on-shore and off-shore wind farms. Key job responsibilities As an data scientist, you will employ machine learning and analytics to create scalable solutions for problems in sustainable energy space. You will dissect large historical business data sets to enhance and streamline essential processes. You will partner with data and software teams to create models for predictive insights and establish automated methods for large data analysis. A day in the life To learn more, you can visit: amazon sustainability in the cloud About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
US, CA, Santa Clara
Are you passionate about applying automated reasoning and program analysis to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. We’re looking for an Applied Scientist to help strengthen our customers' security with automation for managed controls. AWS Identity provides the bedrock for secure and continuous access to all AWS services. By quickly connecting millions of users, across the world we empower organizations and enterprises to accelerate their cloud and digital transformation. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use. Key job responsibilities * Interact with various teams to develop an understanding of their security and safety requirements. * Apply the acquired knowledge to build tools and algorithms, find problems, or show the absence of security/safety problems. * Implement these capabilities through the use of Automated Reasoning and various concepts from programming languages. * Perform analysis of the customer systems using tools developed in-house or externally provided * Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
US, WA, Seattle
Amazon Prime is looking for an ambitious Economist to help create econometric insights for world-wide Prime. Prime is Amazon's premiere membership program, with over 200M members world-wide. This role is at the center of many major company decisions that impact Amazon's customers. These decisions span a variety of industries, each reflecting the diversity of Prime benefits. These range from fast-free e-commerce shipping, digital content (e.g., exclusive streaming video, music, gaming, photos), and grocery offerings. Prime Science creates insights that power these decisions. As an economist in this role, you will create statistical tools that embed causal interpretations. You will utilize massive data, state-of-the-art scientific computing, econometrics (causal, counterfactual/structural, time-series forecasting, experimentation), and machine-learning, to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists, applied scientists, data professionals (business analysts, business intelligence engineers), product managers, and software engineers. You will create insights from descriptive statistics, as well as from novel statistical and econometric models. You will create internal-to-Amazon-facing automated scientific data products to power company decisions. You will write strategic documents explaining how senior company leaders should utilize these insights to create sustainable value for customers. These leaders will often include the senior-most leaders at Amazon. The team is unique in its exposure to company-wide strategies as well as senior leadership. It operates at the cutting-edge of utilizing data, econometrics, artificial intelligence, and machine-learning to form business strategies. A successful candidate will have demonstrated a capacity for building, estimating, and defending statistical models (e.g., causal, counterfactual, time-series, machine-learning) using software such as R, Python, or STATA. They will have a willingness to learn and apply a broad set of statistical and computational techniques to supplement deep-training in one area of econometrics. For example, many applications on the team use structural econometrics, machine-learning, and time-series forecasting. They rely on building scalable production software, which involves a broad set of world-class software-building skills often learned on-the-job. As a consequence, already-obtained knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. Additionally, this candidate will show a track-record of delivering projects well and on-time, preferably in collaboration with other team members (e.g. co-authors). Candidates must have very strong writing and emotional intelligence skills (for collaborative teamwork, often with colleagues in different functional roles), a growth mindset, and a capacity for dealing with a high-level of ambiguity. Endowed with these traits and on-the-job-growth, the role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members.