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

Amazon - Arlington, VA

Full-time - Senior

Arlington, VA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Senior Data Scientist role at AWS Managed Operations Data Science (MODS) involves leading research and driving data-driven transformation across the organization. The position requires a Full Stack Data Scientist to manage the end-to-end data science lifecycle, utilizing various tools and technologies to solve complex business problems and provide actionable insights to improve AWS operations.

Responsibilities

• Interact with business and software teams to understand their business requirements and operational processes.
• Conduct in-depth exploratory data analysis to understand the structure, quality, and patterns within complex datasets.
• Frame business problems into scalable solutions and translate complex data insights into actionable recommendations.
• Contribute to the design and implementation of data pipelines, data lakes, and other data infrastructure components.
• Define and develop advanced metrics and key performance indicators (KPIs) that capture the organization's strategic objectives.
• Prototype models using high-level modeling languages such as R or software languages such as Python, collaborating with a software team to transform prototypes into production.
• Create, enhance, and maintain technical documentation.

Requirements

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

Nice-to-haves

• 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 experience in data visualization using AWS QuickSight, Tableau, R Shiny, etc.
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team.

Benefits

• Flexible working culture
• Mentorship and career growth opportunities
• Diverse experiences and inclusive workplace culture