Decision Scientist, Decision Sciences

Amazon is looking for a Decision Scientist I to join 1P Lending team and help drive data-informed business decisions.
In this role you will apply statistical modeling machine learning and experimentation techniques to solve well-defined problems across key business areas. You will build and validate models using standard methodologies (logistic regression gradient boosting survival analysis classification) design and analyze A/B tests and create metrics to quantify business impact. Working with large-scale datasets from multiple sources you will partner with product business and engineering teams to translate data-driven insights into actionable strategies.

You will write mathematically rigorous documentation follow best practices in model development and deliver artifacts that directly improve business processes and customer outcomes.

Key job responsibilities
1. Build and validate statistical and machine learning models using standard methodologies (logistic regression decision trees random forests gradient boosting survival analysis).
2. Develop classification regression and segmentation models to support business decisions
Monitor deployed models for drift and degradation and recommend recalibration when needed
Design execute and analyze A/B tests and controlled experiments to evaluate product and policy changes.
3. Drive end-to-end delivery of scalable data pipelines from ideation to production deployment.
4. Gather and use large-scale datasets from multiple sources to build analytical solutions.
5. Write production-quality SQL and Python/R scripts to extract transform and analyze data at scale.
6. Create and maintain metrics and KPIs to quantify model performance and business improvement (e.g. AUC-ROC precision-recall Gini KS statistic).
7. Partner with product business science and engineering teams to translate complex analyses into actionable recommendations.
8. Write accurate clear and mathematically rigorous technical documents model documentation and reports.
9. Conduct root cause analysis on business performance trends and anomalies.
10. Deliver artifacts for project components that improve processes or systems to inform business decisions.
11. Follow best practices to discover and adapt existing knowledge (internal and external research) to meet customer needs.
12. Understand what the team owns including data pipelines model infrastructure and business impact.

About the team
As Decision Sciences team supporting 1p lending we use Data Science Machine Learning and advanced analytics on massive datasets to power credit decisioning risk management and customer experience optimization.
We operate at the intersection of ML Fintech and E-commerce working on cloud scale ML infrastructure. If explainable GenAI Probabilistic Graph Models DNNs and Monte Carlo Simulations excite you then we are the right team for you.

- 3 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
- 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
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- 2 years of data/research scientist statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)

- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- Experience effectively communicating complex concepts through written and verbal communication
- Experience with AWS Solutions including EC2 S3 Redshift EMR (or Hadoop)

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