Sr Data Scientist

Overview:

Are you passionate about Machine Learning (ML) and Artificial Intelligence (AI)? Do you thrive on solving real-world challenges with cutting-edge technology? Join the;AI/ML Platforms (AMP) Team;at AWS World Wide Public Sector (WWPS). We are a strategic team of;data scientists, engineers, solution architects, and strategists;dedicated to helping customers implement AI/ML solutions to drive transformative business outcomes.

We guide customers in defining use cases, selecting and fine-tuning the right models, overcoming challenges, and deploying solutions at scale—all while championing responsible and cost-efficient AI practices.

This position requires;U.S. citizenship, an active;Top Secret/SCI clearance, and is;not remote. Candidates must work on-site or at customer locations as needed, with up to 10% travel.

Key Responsibilities:

• Collaborate;with AI/ML scientists and architects to research, design, and develop innovative generative AI algorithms.
• Engage directly;with customers to understand their business challenges, implement AI/ML solutions, and deliver tailored recommendations.
• Deliver impactful content;including tutorials, blogs, sample code, and presentations for diverse stakeholders, from technical teams to executives.
• Provide;feedback to Product and Engineering teams;to shape the direction of AWS solutions.

A Day in the Life:

As a Data Scientist, you’ll work closely with customers on groundbreaking projects, designing and running experiments, researching new algorithms, and optimizing AI/ML solutions to enhance risk management, profitability, and customer experience. You'll utilize data engineering and machine learning techniques to solve never-before-addressed challenges.

Why AWS

• Inclusive Team Culture:;At AWS, we embrace diverse perspectives, unique experiences, and bold ideas. From employee-led affinity groups to initiatives like;CORE;and;AmazeCon, our culture celebrates inclusion and inspires us to embrace individuality.
• Work-Life Balance:;Flexible work arrangements are part of our DNA. We believe personal well-being and professional success go hand-in-hand.
• Mentorship & Career Growth:;Access endless opportunities for learning, mentorship, and development to help you grow into a well-rounded professional.

Basic Qualifications:

• 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical software (e.g., R, SAS, MATLAB).
• 4+ years of professional experience as a data scientist.
• Expertise in statistical models such as multinomial logistic regression.
• Active Top Secret/SCI U.S. Government Security Clearance.

Preferred Qualifications:

• 2+ years of experience in data visualization tools (e.g., AWS QuickSight, Tableau, R Shiny).
• Proven experience managing data pipelines.
• Demonstrated leadership and mentorship capabilities within a data science team.