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The best science career advice we heard in 2021

What's it like to be a scientist at Amazon? What drew you to science? What advice do you have? We asked those questions a lot in 2021 — these are some of the best answers.

By Staff writer
December 28, 2021
2 min read
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  1. "Think a lot, and think big."
    Minghui He, a research scientist, is seen smiling and holding a book with a park and cityscape in the background
    Minghui He is a research scientist who transformed an internship into a full-time role. Her advice to other interns who want to follow her path is to discuss your ideas and goals with your manager — and to "think big."
    Courtesy of Minghui He

    Minghui He is a research scientist on a team comprising mostly ethnographers. She says one of the benefits of her role is interacting with user researchers, product managers, and designers. Learn how she turned an internship at Amazon into a full-time job.

  2. "I had many different types of mentors."
    A headshot of Sneha Rajana
    When Sneha Rajana started at Amazon, she worked as a software development engineer. Now she is an applied scientist whose previous SDE role has aided her approach to her current job.
    Courtesy of Sneha Rajana

    When Sneha Rajana started at Amazon, she worked as a software development engineer. Today she is an applied scientist. Learn how she made the switch — and how she was able to do it without a PhD.

  3. "I'm leading the fastest growing technology for the fastest moving market segment at the largest cloud provider in the world. There's no better job."
    A portrait photo of Allie Miller
    Allie Miller is the global head of machine learning business development for startups and venture capital for Amazon Web Services. Miller consults AWS customers on everything from distributed model training to strategies on hiring a more diverse engineering team.
    Courtesy of Allie Miller

    Allie Miller is the global head of machine learning business development for startups and venture capital for Amazon Web Services. Learn why she wants to help others understand artificial intelligence.

  4. "If you know how to apply data science, you can work in any industry."
    Daliana Liu, a senior data scientist
    Daliana Liu, a senior data scientist in Amazon’s Machine Learning Solutions Lab, uses her experience to help young data scientists decide where they fit. 
    Courtesy of Daliana Liu

    Daliana Liu, a senior data scientist in Amazon’s Machine Learning Solutions Lab, offers daily career advice on her LinkedIn page and has a newsletter for early career data scientists. Many of her followers have the same question. Find out what she tells people when they ask: "What kind of data scientist should I be?".

  5. "There is a huge amount of innovation in machine learning at Amazon."
    Andrew Borthwick
    Andrew Borthwick, an Amazon principal scientist, shares his insights related to helping organize a company-wide challenge for one of the company's internal science events, and on how, despite the company's decentralized approach to science and engineering, the company still fosters collaboration and a sense of community among scientists.
    Credit: Andrew Borthwick

    Andrew Borthwick, an Amazon principal scientist, shares his insights related to helping organize a company-wide challenge for one of the company's internal science events, and on how, despite the decentralized approach, the company still fosters collaboration and a sense of community among scientists.

  6. "I knew there was something in robotics that I really wanted to get my hands and feet into."
    Erica Aduh, a research scientist, is seen standing outside with office buildings in the background
    Erica Aduh, a research scientist at Amazon Robotics, was drawn to robotics after taking an Intro to Robotics course during her sophomore year at the University of Pennsylvania.
    Courtesy of Erica Aduh

    Today Erica Aduh is a research scientist working on significant challenges for Amazon Robotics, but it was a college class that proved fateful. Learn about the class that sparked her passion for robotics, and why she says mentors are so important.

  7. "Take advantage of the opportunity and do as many and as diverse internships as [you] can."
    Image shows Cristiana Lara, a research scientist, standing outside and smiling with a tree in the background
    Cristiana Lara, a research scientist, has done groundbreaking work on network timing that is helping Amazon better formulate how to transport packages more efficiently.

    Cristiana Lara, a research scientist, has done groundbreaking work on network timing that is helping Amazon better formulate how to transport packages more efficiently. Learn about her journey from a curious student to a full-time research scientist.

  8. "The experiences and opportunities I’ve had have far exceeded my initial expectations"
    Nanneh Chehras, a senior economist at at Amazon, is seen standing on a stone staircase
    Nanneh Chehras is a senior economist at Amazon. She is known as someone who advocates for her colleagues, mentors the next generation, and invests in women across a space where there are few.

    Nanneh Chehras is a senior economist at Amazon. She knows what it means to pursue a career path like hers, and she’s determined to help others along the way. Learn why she says she is committed to being a mentor.

  9. "With Amazon, you have the opportunity to reach hundreds of millions of people with your work."
    Theodore Vaslioudis, a former intern and full-time Amazon scientist
    Theodore Vaslioudis, a former intern and full-time Amazon scientist since February 2020, uses his experiences to help customers gain the greatest value from AWS resources, and his colleagues make the most of working remotely.

    Theodore Vaslioudis, a former intern who is now full-time Amazon scientist, uses his experiences to help customers gain the greatest value from AWS resources, and his colleagues make the most of working remotely. Find out how he made the journey from an intern to a full-time scientist.

  10. "Great scientists are those who constantly try to find the simplest and most efficient solution."
    Alex Guazzelli, director of machine learning in Amazon’s Customer Trust and Partner Support unit, stands in front of a window
    Alex Guazzelli, director of machine learning in Amazon’s Customer Trust and Partner Support unit, says great scientists are "invention machines, they find innovative ways to tackle challenges."
    Courtesy of Alex Guazzelli

    Alex Guazzelli is a director of machine learning in Amazon’s Customer Trust and Partner Support unit. Read his thoughts about the essential qualities of a great scientist.

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Sr. Applied Scientist, AWS Automated Reasoning
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Sr. Applied Scientist, AWS Automated Reasoning
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Sr. Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the 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 Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & 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, training, 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
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Applied Scientist, AWS Automated Reasoning
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Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the 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 Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & 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, training, 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center
JP, 13, Tokyo
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Generative Artificial Intelligence (AI) Innovation Center team at AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies leveraging cutting-edge generative AI algorithms. As an Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers. We’re looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges - Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction. A day in the life Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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. What if I don’t meet all the requirements? That’s okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You’ll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today.
Applied Scientist, AWS Automated Reasoning
US, TX, Austin
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the 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 Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & 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, training, 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Applied Scientist, AWS Automated Reasoning
US, MA, Boston
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the 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 Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & 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, training, 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
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