Senior Data Scientist , AWS Managed Operations Data Science (MODS)

Overview

Senior Data Scientist, AWS Managed Operations Data Science (MODS). Arlington, VA (HQ2). The MODS team is driven by a shared vision of achieving operational excellence through data analytics and machine learning. We provide actionable insights to help manage operational posture and operator experience and drive sustainable, safe, and efficient operations. This role will contribute to research and thought leadership to drive data and insight strategy for AWS and will be involved in the end-to-end data science lifecycle, from data exploration and feature engineering and ETL to model development. You will leverage tools including SQL, Python, Spark, Hugging Face and various machine learning frameworks to tackle complex business problems and uncover insights.

This position requires that the candidate selected be a U.S. citizen.

Responsibilities

• Collaboration & Cross Functional Relationships: Interact with business and software teams to understand their business requirements and operational processes.
• Data Exploration and Analysis: Conduct in-depth exploratory data analysis to understand structure, quality, and patterns within complex datasets. Apply statistical and machine learning techniques to extract insights, identify trends, and uncover hidden relationships in the data.
• Business Insights and Recommendations: Frame business problems into scalable solutions; translate complex data insights and model outputs into actionable recommendations that address the organization\'s strategic objectives.
• Data Pipeline and Infrastructure: Contribute to the design and implementation of data pipelines, data lakes, and other data infrastructure components to support the organization\'s data-driven initiatives.
• Metric Development and Monitoring: Define and develop advanced, customized metrics and KPIs that capture the nuances of strategic objectives and operational complexities. Continuously monitor and evaluate the performance of metrics.
• Prototype models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production.
• Documentation & Continuous Improvement: Create, enhance, and maintain technical documentation.

Qualifications

BASIC QUALIFICATIONS

• 6+ years of data scientist experience
• 5+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience
• Experience with statistical models e.g. multinomial logistic regression

PREFERRED QUALIFICATIONS

• Master\'s degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• 8+ years of data scientist experience
• 6+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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