Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science
Amazon Web Services (AWS) - Arlington, VA
Hiring: Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science Company: Amazon Web Services (AWS) Location: Arlington, VA Job Posted Time: 2026-09-17 05:03:18 Target Skills & Keywords : AWS, Airflow, Data Pipeline, ETL, Hadoop, Hive, Hugging Face, MATLAB, Machine Learning, Python, R, SQL, Spark About the job Experience: •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 •6+ years of data scientist experience •4+ years of machine learning, statistical modeling, data mining, and analytics techniques experience Required Skills: •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! •Passionate about building, owning and operating massively scalable systems? Want to make a billion-dollar impact? If so, we have an exciting opportunity for you. •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. •Interface directly 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 •AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Qualifications: •Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!