Data Scientist, Amazon
PLEX-SIA
$125.5-212.8k
The largest online retailer and technology provider
Job no longer available
The largest online retailer and technology provider
1001+ employees
Job no longer available
$125.5-212.8k
1001+ employees
Company mission
To be Earth's most customer-centric company.
Role
Who you are
- We are looking for a passionate scientist with a commitment to teamwork
- Successful candidates will have a deep knowledge of statistical and data analysis techniques to examine complex massive data
- You will have the communication skills necessary to impact and influence leadership & partner teams through technical writings, presentations and discussions
- 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
- Experience diving into data to discover hidden patterns and of conducting error/deviation analysis
- Knowledge in use of ML models, Deep Expertise in statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Master's with 2+ years or BS with 5+ years experience in computer science, mathematics, statistics, machine learning or equivalent quantitative field
Desirable
- 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
- Experience in data modeling (e.g. ERWin, ERStudio), ETL tools (e.g. Informatica, SSIS), and BI tools (e.g. Tableau)
What the job involves
- The Planning and Execution team (PLEX) is looking for a Data Scientist to provide analytical support to planning and execution activities throughout North America
- PLEX is comprised of high-powered dynamic teams, which are shaping network execution through the development and application of innovative labor & flow planning mechanisms
- Our goal is to improve and enhance the Amazon Fulfillment network to ultimately drive the best customer experience in a reliable and cost-efficient manner that is truly world-class
- Creating reliable & scalable forecasting techniques requires a sound understanding of the data and creation of quality input for ML models
- Your data analytics will influence the performance of all North America Amazon Fulfillment networks
- You will be working on large-scale data-sets and leverage your knowledge in advanced data analysis, ML, statistics, and other scientific tools to provide detailed insights that help scientists in the team to create accurate time-series forecasting models and other value-added research to the business
- You will contribute in building scalable scientific models & algorithms and provide visualizations to drive data insight
- You will own & drive the strategic insights and recommendations for the business that plays a key role in labor planning
- You will learn a lot, grow, and have fun in the process!
- Design and implement advanced forecasting models to optimize fulfillment network operations
- Develop scalable ML models and algorithms for time-series forecasting
- Analyze large-scale complex data to make decisions in scientific research projects
- Create visualization tools to provide detailed insights into the data and end-to-end systems that drive strategic decisions in the business
- Lead & partner with research, data engineering and product teams to perform mathematical & statistical research for labor & flow planning and optimization
- Simplify the scientific methodology and data analysis by navigating through the technology complexities, explaining them in plain customer and business context to our partners & customers
- Lead & partner with software and product teams to support productization and integration of mathematical models and enhanced logic into portal-based tools
- PLEX-SIA (Science, Intelligence, & Analytics) serves as the research, automation, and insight arm of the Planning & Execution team of NA Supply Chain org
- PLEX-SIA identifies technical gaps, analytical opportunities, and complex operational and planning trends within NACF, in order to action them strategically and sustainably
- PLEX-SIA Science team is the science wing of PLEX-SIA that specifically focuses on the creation, improvement, and automation of labor planning models and processes
- This is achieved through AI and ML modeling, scientific analysis of existing processes, and optimization techniques
- Science team partners with tech & non-tech partners to improve existing tech solutions and provide data driven recommendations for strategic model implementations
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
16% employee growth in 12 months
Company
Company HQ
South Lake Union, Seattle, WA
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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