Senior Data Scientist, AWS Professional Services

Senior Data Scientist, AWS Professional Services

Join to apply for the Senior Data Scientist, AWS Professional Services role at Amazon Web Services (AWS).

Are you looking to work at the forefront of Machine Learning (ML) and Artificial Intelligence (AI)? Would you be excited to apply AI algorithms to solve real world problems with significant impact? The Amazon Web Services Professional Services (Pro Serve) team is seeking a skilled Senior Data Scientist to help customers implement AI/ML solutions and realize transformational business opportunities.

You will work directly with customers and innovate in a fast‑paced organization that contributes to game‑changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

• Lead end‑to‑end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, solution deployment, and post‑production monitoring.
• Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real‑world challenges.
• Interact with customers directly to understand the business challenges, deliver briefing and deep dive sessions, and guide them on adoption patterns and paths to production.
• Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations tailored to technical, business, and executive stakeholders.
• Provide customer and market feedback to product and engineering teams to help define product direction.

• 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).
• 4+ years of data scientist experience.
• Experience with statistical models such as multinomial logistic regression.

• 2+ years of data visualization experience using AWS Quick Sight, Tableau, R Shiny, etc.
• Experience managing data pipelines.
• Experience as a leader and mentor on a data science team.

Amazon values diverse experiences and encourages candidates who do not meet every qualification to apply. AWS offers work‑life balance, inclusive team culture, mentorship and career growth, and a competitive compensation package ranging from $143,300 to $247,600 per year depending on location. The role may require travel to customer sites.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation, visit (Use the "Apply for this Job" box below). for more information.

Job : A3127431