Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science

Amazon; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

Amazon is seeking a Data Scientist II to lead the research and strategy for data insights at AWS. This role involves handling the full data science lifecycle, using tools like Spark and Python to drive transformation across the organization.

Candidates should have at least 3 years of data scientist experience, familiarity with machine learning techniques, and a deep understanding of data querying languages. This position is located in New York.

Qualifications

• 3+ years of data scientist experience.
• Proficiency in data querying and scripting languages.
• Experience with machine learning and statistical modeling techniques.

Responsibilities

• Work with large and complex data sets using analytical approaches.
• Develop ML/AI models and productionalize these with teams.
• Design data pipelines and monitor performance metrics.

Skills

Data querying languages (e.g., SQL)

Scripting languages (e.g., Python)

Machine learning/statistical modeling

Data visualization

Tools

Spark

Airflow

Hugging Face

Job description

Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science

Job ID: 10463822 | Amazon.com Services LLC

Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.

We are looking for a Data Scientist to lead research and thought leadership to drive our data and insight strategy for AWS. The role is a Full Stack Data Scientist responsible for driving data‑driven transformation across the organization, handling the end‑to‑end data science lifecycle from data exploration, ETL, model development and data visualization, using tools such as Spark, Airflow, Hugging Face and other machine learning frameworks.

Key Job Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical approaches.
• Develop ML/AI models and partner with software teams to productionalize these models.
• Design and implement data pipelines and infrastructure.
• Define and develop advanced, customized metrics and KPIs, continuously monitor and evaluate performance.

Basic Qualifications

• 3+ years of data scientist experience.
• 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab).
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and understanding of parameters that affect performance.
• Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets.

Preferred Qualifications

• 6+ years of data scientist experience.
• 4+ years of machine learning, statistical modeling, data mining, and analytics techniques experience.
• Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, Matlab).
• Experience with clustered data processing (e.g., Hadoop, Spark, MapReduce, Hive).
• Experience in an ML or data scientist role with a large technology company.

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

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