Data Scientist, Amazon

Ring Data Science and Engineering

$125.5-212.8k

SQL
Python
R
MatLab
Perl
Mid and Senior level
New York
Amazon

The largest online retailer and technology provider

Job no longer available

Amazon

The largest online retailer and technology provider

1001+ employees

B2CB2BMarketplaceCloud ComputingeCommerce

Job no longer available

$125.5-212.8k

SQL
Python
R
MatLab
Perl
Mid and Senior level
New York

1001+ employees

B2CB2BMarketplaceCloud ComputingeCommerce

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 helping shape the future of devices and services designed to keep people close to what’s important?
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 2+ years of data scientist experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Bachelor's degree
  • Experience applying theoretical models in an applied environment

Desirable

  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company

What the job involves

  • The Data Scientist within Ring Data Science and Engineering plays a pivotal role in shaping how we carry the voice of our customers
  • We strive to understand their behaviors and preferences in order to provide them with the best experience connecting with the places, people and things that matter to them
  • This role will build scalable solutions and models to support our business functions (Subscriptions, Product, Customer Service)
  • By leveraging a range of methods including statistical analysis and machine learning, you will explain, quantify, predict and prescribe in support of informing critical business decisions
  • You will translate business goals into agile, insightful analytics
  • You will seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders
  • Drive shared understanding among business, engineering, and science teams of domain knowledge of processes, system structures, and business requirements
  • Apply domain knowledge to identify product roadmap, growth, engagement, and retention opportunities; quantify impact; and inform prioritization
  • Advocate technical solutions to business stakeholders, engineering teams, and executive level decision makers
  • Lead development and validation of state-of-the-art technical designs (data pipelines, data models, causal inference, predictive models, data insights/visualizations, etc)
  • Contribute to the hiring and development of others
  • Communicate strategy, progress, and impact to senior leadership
  • Complex and interrelated datasets describing customer behavior, messaging, content, product design and financial impact
  • Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance
  • Analyze historical data to identify trends and support decision making
  • Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters
  • Provide requirements to develop analytic capabilities, platforms, and pipelines
  • Apply statistical or machine learning knowledge to specific business problems and data
  • Formalize assumptions about how users are expected to behave, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed
  • Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes
  • Make decisions and recommendations
  • Build decision-making models and propose solution for the business problem you defined
  • Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication
  • Utilize code (Python/R/SQL) for data analyzing and modeling algorithms

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Insights

16% employee growth in 12 months

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

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.

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Steph

Company Specialist at Welcome to the Jungle