Senior Data Scientist, Amazon
Execution & Planning Science
$143.3-247.6k
The largest online retailer and technology provider
Be an early applicant
The largest online retailer and technology provider
1001+ employees
Be an early applicant
$143.3-247.6k
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
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
Desirable
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
What the job involves
- We are looking for a Data Scientist to build ML prediction models
- They will own contained analyses and insights as well as building models for production, typically which will be inputs to optimization models
- This team plays a significant role in various stages of the innovation pipeline from identifying business needs, developing new algorithms, prototyping/simulation, to implementation by working closely with colleagues in engineering, product management, operations, retail and finance
- Minimal travel requirements. Quarterly site visits or team off-sites are typical
- Leverage advanced statistical and machine learning techniques to analyze large and complex datasets
- Collaborate with cross-functional teams to identify business problems and develop innovative data-driven solutions
- Communicate findings effectively to both technical and non-technical stakeholders through compelling data visualizations and presentations
- Collaborate with business teams to understand requirements and translate them into actionable insights
- Develop production software systems utilizing advanced algorithms to solve business problems
- Proactively identify interesting areas for deep dive investigations and future product development
- Design and execute experiments, and analyze experimental results in collaboration with Product Managers, Business Analysts, Applied/Research Scientists, and other specialists
- Partner with data engineering teams across multiple business lines to improve data assets, quality, metrics and insights
- Leverage industry best practices to establish repeatable applied science practices, principles & processes
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 at Welcome to the Jungle
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
- Amazon Care's virtual services are available in all 50 states, and in-person care is active in Seattle, Washington, D.C., Arlington, Baltimore, Boston, Dallas, Austin, and Los Angeles, with 20+ more markets coming online in 2022 alone
- 20 weeks of paid leave to birthing mothers and six weeks for parents who adopt
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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