Amazon
Data Science, Science, international stores
DataScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist at Amazon. Skills: Data Science, Machine Learning, Statistical Analysis, Forecasting. Drive development of science analytics. Drive development of insights capabilities”
What You'll Achieve.
Successfully delivering results
Industry & Context.
Complex problem solving; Problem-solution pairs
What They're Looking For.
Must Have
1+ years of data querying languages experience, 1+ years of scripting languages experience, 1+ years of statistical/mathematical software experience, 2+ years of data/research scientist experience, 2+ years of statistician experience, 2+ years of quantitative analyst experience, 1+ years of creating mathematical textbooks experience, 1+ years of creating research papers experience, 1+ years of creating educational content experience, Master's degree in STEM, Bachelor's degree in computer science, Master's degree in computer science, Experience with data scripting languages, Experience with statistical/mathematical software, Experience using complex modeling, Experience using analysis to inform decisions, Experience with analytical skills, Experience with attention to detail, Experience with effective communication abilities, Experience in SQL Server, Experience in MySQL, Experience with big data technologies, Can work proactively, Can work independently, Meet deadlines, Deliver on projects, Deliver on tasks, Experience troubleshooting findings, Experience documenting findings, Experience driving collaborative projects
Nice to Have
Ph. D. in STEM, Knowledge of statistical packages, Knowledge of business intelligence tools, Knowledge of machine learning concepts, Experience with clustered data processing, Experience working with AI systems, Experience evaluating AI systems, Experience applying quantitative analysis, Experience making data-driven decisions, Master's degree in quantitative field, PhD in quantitative field, Knowledge of AWS platforms, Knowledge of software engineering best practices, Experience in complex problem solving, Experience working in tight schedule environment
What You'll Do.
Drive development of science analytics
Drive development of insights capabilities
Develop analytical solutions
Design forecasting solutions
Develop forecasting solutions
Implement forecasting solutions
Test forecasting solutions
Apply statistical techniques
Apply machine learning techniques
Identify real-time anomalies
Identify early-detection mechanisms
Build science solutions
Integrate reporting tools
Lead training sessions
Lead informational sessions
Identify state-of-the-art methods
Analyze state-of-the-art methods
Adapt state-of-the-art methods
Create problem-solution pairs
Communicate with product teams
Communicate with business teams
Communicate with tech teams
Communicate with other science teams
How You'll Work.
Team & Collaboration
Working with stakeholders; Collaborate with Analysts; Collaborate with Business Intelligence Engineers; Collaborate with Product Managers; Work with product tech teams; Work with BIE/DE; Communicate effectively
Communication Scope
Summarizing findings; Summarizing recommendations; Presenting findings; Presenting recommendations; Written communication; Verbal communication
Process & Methodology
End-to-end ownership, Agile methodologies
Full Job Description
Amazon’s Consumer Payments organization is seeking a highly quantitative, experienced Data Scientist to drive the development of science analytics and insights capabilities. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses. Our team is a brand-new Analytics team, offering a unique opportunity to build a new set of analytical experiences from the ground up. You will be part the team that is focused developing analytical solutions for our customers (Product/Marketing/Finance/Operations team). The position is based in India but will interact with global leaders and teams in Europe, Japan, US, and other regions. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Key job responsibilities • Working with technical and non-technical stakeholders across every step of science project life cycle. • Design, develop, implement, test forecasting solutions for planning and goal setting exercises across various payment products and programs across CP organization. • Apply statistical and machine learning techniques to extract meaningful trends and insights. • Identifying real-time anomalies and early-detection mechanisms. • Collaborate with Analysts, Business Intelligence Engineers and Product Managers to implement algorithms that exploit rich data sets for statistical analysis, and machine learning. • Work with product tech teams, BIE/DE and bu
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