Machine Learning Scientist/Applied Scientist, Amazon
EU Prime & Marketing Science
The largest online retailer and technology provider
Open for applications
The largest online retailer and technology provider
1001+ employees
Open for applications
1001+ employees
Company mission
Amazon aims to be Earth’s most customer centric company. Their mission is to continually raise the bar of the customer experience by using the internet and technology to help consumers find, discover and buy anything, and empower businesses and content creators to maximise their success.
Role
Who you are
- Are you interested in creating a large business impact on millions of customers through the use of machine learning?
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in building machine learning models for business application
Desirable
- Experience using Unix/Linux
- Experience in professional software development
What the job involves
- We are seeking an Applied Scientist to join our PriMA (Prime & Marketing) science team to work on developing state-of-the-art solutions to model customer behavior, improve the engagement of our existing customers, and help us grow our customer base
- In this role, you will collaborate with cross-functional teams and stakeholders to solve problems, and you will regularly interact with software engineering teams and business leadership
- Develop accurate and scalable machine learning models to address business use cases ranging from: modeling customer behavior, causal inferencing to model the value of customer incentivizes, recommender systems to increase customer engagement, or modeling and measurement marketing channels
- Lead and partner with engineering teams to drive modeling and technical design for complex business problems, often guiding engineers to apply the best scientific practices in software development
- Lead complex modeling analyses to help management and business stakeholders making key business decisions
- The PriMA (Prime & Marketing) science team is the science team that support the science needs of the EU Prime and Marketing organization, an org that supports the Prime and Marketing programs in European marketplaces and comprises 250-300 employees
- Some of the scientific and technical challenges you will tackle in this role are:
- Modeling customer dynamics and how customer behavior changes over time
- Building recommender systems that can nudge customers and engage them with our products and offers
- Measuring marketing campaigns across external marketing channels (Youtube, TikTok, Google,....)
- Modeling the causal impact that some actions have over customers
Our take
Amazon is the world's largest online retailer, and is well-known for its disruption of well-established industries. The company is present in numerous verticals, including cloud computing with Amazon Web Services, AI with its range of Alexa devices and a global marketplace more commonly referred to as 'the everything store'. Acquisitions include Ring, Twitch, Whole Foods Market, and IMDb.
More recently, Amazon has been focused on leading the "third wave in digital advertising". Many businesses are now shifting ad dollars to retailers, which before would have been spent with online media platforms. Amazon's seen great success in the space, with its revenue from advertising now higher than its Amazon Prime membership scheme, audiobooks and digital music combined. This growth is particularly impressive considering its digital ad rivals (like Snap, Alphabet, and Meta) have suffered declines due to wider macroeconomic factors and Apple's iOS privacy changes.
Despite its dominant market position, Amazon will continue to be challenged over the next decade, including sustaining AWS's cloud dominance in the face of Google and Microsoft. On top of this, the company's e-commerce division is facing profitability problems despite its 2023 post-IPO debt funding of 8 billion. It will need to find new ways to stay above their competitors.
Steph
Company Specialist
Insights
Company
Company benefits
- Employees have opportunities to own Amazon stock, participate in 401(k) plans with company match, and enroll in paid life and accident insurance
- Financial counseling and estate planning services are also available, plus paid short-term and long-term disability if needed
- Medical, dental, and vision coverage to all our regular full-time employees, regardless of their level, tenure, or position
- Amazon employees have free access to a network of more than 2 million caregivers, including nannies, babysitters and special-needs caretakers
- Employees receive discounts on certain day care centers, and Amazon provides a variety of free resources for parents of children with autism, ADHD and developmental disabilities
- Adoption assistance for qualified domestic and international adoption expenses including attorney fees, court costs, and travel
- Leave Share program allows employees to give six weeks of paid parental leave to a spouse or partner who isn’t eligible for parental leave from their employer
Company values
- Customer obsession rather than competitor focus
- Passion for invention
- Commitment to operational excellence
- Long-term thinking
Company HQ
South Lake Union, Seattle, WA
Articles
Leadership
Jeff Bezos
(Founder & Executive Chairman)Jeff is an American business magnate, media proprietor, and investor. As well as founding Amazon, Jeff founded Blue Origin, an aerospace manufacturer and sub-orbital spaceflight services company and also owns The Washington Post.
Andy Jassy
(President & CEO)Joined Amazon as a Marketing Manager in 1997. Developed AWS with Jeff Bezos, and became CEO of Amazon in 2021.
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