Amazon

Applied Scientist II, US Prime and Marketing Tech

Amazon$120K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or Master's degree with 1+ years in Computer Science (CS), Computer Engineering (CE), Machine Learning (ML), or a related field.
  • Proficient in programming languages including Java, C++, or Python.
  • Experience in building machine learning models or algorithms for practical business applications.
  • Demonstrated analytical skills and ability to interface between technical and business teams.
  • Familiarity with data science methodologies and statistics.

Responsibilities

  • Create and develop services that optimize marketing and merchandising through automation.
  • Utilize machine-learning models to enable intelligent marketing campaigns.
  • Analyze data to identify opportunities for business solutions and improvements.
  • Design, develop, test, and deploy scalable machine learning solutions for product recommendations.
  • Collaborate with engineering teams to integrate algorithms and technology into customer-facing features.

Benefits

  • Opportunity to work with cutting-edge technology in a fast-paced environment.
  • Access to Amazon's extensive resources and knowledge base in the field of data science.
  • Environment that fosters innovation and encourages personal growth through continuous learning.
  • Collaborative work culture bridging technical and business aspects of machine learning.
Full Job Description
Are you excited to help customers discover the hottest and best reviewed products?

The Discovery Tech team helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences alongside advanced tools for marketers. You will be responsible for creating and building critical services that automatically generate, target, and optimize Amazon's cross-category marketing and merchandising. Through the enablement of intelligent marketing campaigns that leverage machine-learning models, you will help to deliver the best possible shopping experience for Amazon's customers all over the globe.

We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in product recommendation.

As an Applied Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.

To know more about Amazon science, please visit https://www.amazon.science

BASIC QUALIFICATIONS

- PhD, or Master's degree and 1+ years of CS, CE, ML or related field experience

- Experience programming in Java, C++, Python or related language

- Experience building machine learning models or developing algorithms for business application

PREFERRED QUALIFICATIONS

- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices

- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

About Amazon

Audible is a provider of spoken audio information and entertainment , on the Internet. They provide premium spoken audio content, such as audio versions of books and newspapers and radio programs, that is delivered over the Internet and played back on personal computers and hand-held electronic devices. The Audible service allows consumers to purchase and download their content from their Website, store it in digital files and play it back on personal computers and electronic devices. More than 15,000 hours of audio content are available on their Web site, including audio versions of books, periodicals and radio programs. Several manufacturers have agreed to support and promote the playback of their content on their hand-held audio-enabled electronic devices.

Amazon Careers

Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests. Work You’ll Do At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you. Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally. Lead with Innovation and Leadership Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards. Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation. Explore Amazon’s Employment Benefits Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security. Internship and Networking Opportunities Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company. Future-Proof Your Career With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends. Stay Connected Join Our Team Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Amazon. Amazon is more than just a company—it’s a platform for building a promising future. Whether you’re starting or looking to advance your career, Amazon offers the resources, support, and network you need to succeed. Join us, and be a part of our continuing mission to be Earth's most customer-centric company.
Learn more about Amazon
Size
1,608 employees
Market Cap
$832.6 billion
Industry
Net Income
$21.3 billion
Founded
1994
5 Year Trend
+28.1%
Revenue
$386 billion
NASDAQ

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