Peersight
Log In Employers
Explore
Jobs
Jobs
Coordinator Human Resources Assistant National Accounts Manager Marketing Coordinator Business Records Social Media Marketing Assistant Account Executive Business Development Representative Office Manager Data Scientist Software Prototyper - DSpace Innovation Social Media-Marketing Mechanical Designer Conveyor Systems Data Analytics Intern Junior Web Developer Agronomic Research Specialist Junior Embedded Software Engineer Digital Solution Architect Aspen Construction Coordinator Growth Developer Director Project Manager - Engineering Project Engineer iOS Developer and Android Developer MTS Software Development Eng Temporary Support Approach Consultant Software Consultant Digital Marketing Manager - remote Client Account Manager Analog Packaging Systems Engineer Director of Engineering Leather Product Developer-Factory Sales Development Agent Research Analyst REGIONAL SALES MANAGER LEAD - NESPRESSO Discipline TD Automation Salesforce Full Stack Developer Sr Operational Analyst of Clinical Records and Information Technician Software Development Engineer Junior Product Photographer Developer - React Native Motive Manufacturing Programmer A - 2414 Web Developer IT and Terminal Operating Systems All Jobs
Companies
10% Happier 51talk ABBYY ADP AT&T Adaptive Insights Adesto Technologies Aecom Aerotek Akira Alibaba Amazon Flex American Income Life AppNexus Apple Arizona State University ArtBinder Arthena BAMTECH Media Bankers Life Barnes and Noble Bastille Big Health Binance Bitmain Bloomberg Borrowell Brigade Buzzfeed CBRE CGI Candid CareGuide Checkout 51 Chefs Plate Cintas Clickworker Cognizant Coinbase Collabera Control Risks Covestro AG Creative Circle Credit Benchmark CyberCoders Decibel Therapeutics Desjardins Didi Chuxing Doordash Drop Eigen Innovations Inc. Emulate Epic Systems Ericsson ExtraHop Networks Facebook First Convenience Bank Floor and Decor Gamestop Gazillion, Inc. General Electric Grab Grata Data Guardian Analytics Harry's Hinge Homestars Honcker Houzz Hubble Contacts Hungryroot IBM Industry Insight Global Instacart Instagram Intel JD.com Jane Street Jrop July Systems Kasisto Kensho Kforce Later Leapforce - Appen Leidos Lenovo Liberty Mutual Lighter Capital LiveOps Los Angeles Unified School District Microsoft Midaxo Mighty Mixmax Mulesoft NVIDIA Neon Therapeutics Netflix Nielsen Northrop Grumman Northwestern Mutual Oracle Paddle HR Palantir Pantera Capital Paylocity Paytm Piedmont Natural Gas PointClickCare Polychain Capital Postmates Provincial Health Services Authority - PHSA RateSetter Raytheon Ready, Set, Food! Reddit Reim Entertertainment Rev Reynolds and Reynolds Rgis RichRelevance Riot Games Ripple Ritual.com Rover Sedgwick Claims Management Services Sell It Down Sense Shopify Siemens AG Singapore Post SnapTravel SpaceX Square Square Enix Montreal StartUp Health Stryker TD Bank TELUS Taqniaty Taskrabbit Techstars Tencent Holdings Tesla Top Hat Toradex Trade TranscribeMe Trellis Twitter Two Sigma Uber Unite Students UnitedHealth Group UniversalGiving UserTesting VIPKID Vanguard Varian Medical Systems Vector Marketing Video++ Vuzix Walgreens Wattpad Wave WeWork Whole Foods Xiaomi Yelp Yodle Zillow Ziprecruiter Zomato All Companies
Navigation
My Profile Log Out

Data Scientist At Amazon.com

Location

Toronto, On

Job Description

Job Description

Amazon’s Sourcing team – part of the Supply Chain Optimization Technologies (SCOT) organization – develops and deploys models to help Amazon’s businesses worldwide anticipate supplier performance as we order and stock the right inventory for our customers. We are seeking a Data Scientist with strong analytical, communication, and project management skills to join our team. As part of multi-skilled team engineering teams, and with product owners, you will help identify and solve complex prediction problems to improve inbound supply chain systems modelling supplier behaviour so we can offer products to our customers with confidence we will deliver on time. Also, you will develop metrics and reports to measure our impact on Amazon’s business. In a typical day, you will work closely with retail leads, product managers, engineers, and various business groups.

You are an individual with outstanding analytical and modelling abilities, excellent communication skills, good business understanding, and technically savvy. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders.

Responsibilities Include:
  • Collaborating with colleagues from multidisciplinary science, engineering, and business backgrounds, to identify and reduce gaps in current inventory availability.
  • Build statistical, predictive and machine learning models to drive sourcing accuracy.
  • Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, and transformation.
  • Promote data-driven decision making across the team, using tools such as Tableau, SQL, and Excel.
  • Influence leaders to make thoughtful data decisions to provide the most consistent and usable data for all teams across the company.
  • Combine expert knowledge of statistical methodology and analysis with advanced programming skills to support complex analyzes.
  • Share/develop best practices with other Amazon teams on a global scale.
  • Build metrics, reports and dashboard to analyze key inputs to SCOT systems controlling buying and availability.

Basic Qualifications

  • Bachelor's degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
  • 3+ years professional experience in Analytics or other quantitative disciplines.
  • Experience with modeling and analysis including statistical analysis, operations research and management science and data mining.
  • Strong interpersonal and communication skills. Must be able to explain technical concepts and analyses implications clearly to a wide audience, and be able to translate business objectives into actionable analyses.
  • Experience with SQL (any variations thereof), Python/PySpark and/or Scala preferred; though experience with other analytics software (SAS, STATA, MATLAB, Mathematica, R/SparklyR) is acceptable.
  • Familiarity with AWS solutions such as Glue, S3, and Redshift.
  • Proven analytical and quantitative skills to use hard data and metrics to back up assumptions, develop business cases, and complete root cause analyses.
  • Capable of taking responsibility for an initiative and working with minimal direction; self-starter even when assignments are vague or undefined.
  • Creative in finding new solutions/designing innovative methods, systems, and processes.

Preferred Qualifications

  • Graduate degree (MS or equivalent) or higher in a quantitative field such as Mathematics, Statistics, Analytics or Economics.
  • Knowledge and experience with Agile development practices.
  • Experience in Demand Planning & Forecasting, Supply Chain or Inventory Management is a plus.
  • Demonstrated ability to manage multiple competing priorities simultaneously and drive projects to completion.
  • Excellent written / oral communication and interpersonal skills.
  • 5+ years professional experience in Analytics or other quantitative disciplines.

Get hired at Amazon.com

You're one short application away from your dream job