Amazon.com Services LLC
Technology
DataScientistII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist II at Amazon.com Services LLC. Skills: Machine learning, Data science, Analytics. Understand causal inference models. Assess marketing campaigns”
Industry & Context.
Address business questions; Solve problems
What They're Looking For.
Must Have
2+ years of data scientist experience, 3+ years of data querying languages experience, 3+ years of scripting languages experience, 3+ years of statistical/mathematical software experience, 3+ years of machine learning/statistical modeling experience, 3+ years of data analysis tools and techniques experience
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Understand causal inference models
Assess marketing campaigns
Assess online experiments
Assess uplift analysis
Understand business reality
Develop meaningful solutions
Work with business teams
Work with engineering teams
Work with partner teams
Innovate modeling techniques
Adapt modeling procedures
Perform exploratory data analysis
Fine tune Amazon LLMs
Handle large blocks of text
Solve summarization tasks
Prevent catastrophic forgetting
Work with huge datasets
Bring datasets together
Answer business questions
Implement data flow solutions
Operate data flow solutions
Create fault tolerant solutions
Create self-healing solutions
Create adaptive solutions
How You'll Work.
Team & Collaboration
Internal stakeholders; Cross-functional teams; Business teams; Engineering teams; Partner teams
Process & Methodology
Analytics roadmap
Full Job Description
How to use the world’s richest collection of e-commerce data to improve payments experience for our customers? Amazon Payments Data Science team seeks a Data Scientist for building analytical solutions that will address increasingly complex business questions in the Amazon Currency convertor space. Amazon.com has a culture of data-driven decision-making and demands insights that are timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities. As a Data Scientist in this team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the Amazon currency convertor business team through a combination of Gen AI, LLM and other machine learning techniques for text analytics, segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. Key job responsibilities • Understand the applications of causal inference models on real datasets, including assessment of marketing campaigns, online experiments, uplift analysis etc • Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management • Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus are • Innovate by adapting new modeling techniques and procedures • Effective exploratory data analysis, and model building using industry standard regression and classification techniques such as Random Forest, XGBoost package, Keras framework • Demonstrate thorough technical knowledge Fine Tuning of Amazon LLMs to handle large blocks of text, using Generative AI to solve for summarization tasks and prevent catastrophic forgetting, feature engineering of massive datasets, • Be pass
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