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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science - **Company:** Amazon.com, Inc. - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Salary:** $136,000.0 - $184,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Code Review, Extract Transform Load (ETL), Data Mining, Data Visualization, Query Languages, R (Programming Language), Apache Hadoop, MapReduce, Apache Hive, Python (Programming Language), MATLAB, Machine Learning, Mathematical Software, Reliability Engineering, Tensorflow, SAS (Software), SQL Databases, Data Processing, Scripting, Apache Spark, HuggingFace, Data Pipelines - **Published:** September 18, 2026 - **Apply:** https://dejobs.org/x/x/141A0667B5664F48B348CE3D712597FC/job/ ## About the Role * 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, etc.) experience * 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience * Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc., * 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 equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) * Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive) * Experience in a ML or data scientist role with a large technology company ## Description The AWS Managed Operations Intelligence (MOI) Team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insight strategy for AWS. You will be expected to serve as a Full Stack Data Scientist. You will be responsible for driving data-driven transformation across the organization. In this role, you will be responsible for the end-to-end data science lifecycle, from data exploration, ETL, model development and data visualization. You will leverage a broad set of tools and technologies, including general analytical frameworks (Spark, Airflow, etc.), AI frameworks (Hugging Face, etc.) and various machine learning frameworks, to tackle complex business problems. Your analytics research will provide direction on the technology strategy of the Managed Operations organization. Your Decision Science artifacts will provide insights that inform AWS' Operations and Site Reliability Engineering teams. You will work on ambiguous and complex business and research science problems at scale, and you are comfortable working with cross-functional teams and systems. By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us., * Work with large and complex data sets to solve a wide array of challenging problems using different analytical approaches * Develop ML/AI models. Partner with software teams to productionalize these models. * Data Pipeline and Infrastructure: design and implementation of data pipelines * Metric Development and Monitoring: Define and develop advanced, customized metrics and key performance indicators (KPIs) that capture the nuances of the organization's strategic objectives and operational complexities. Continuously monitor and evaluate the performance of metrics A day in the life Why AWS? Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [JavaScript? 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