Data Scientist II, AWS Managed Operations Data Science; MODS

Overview

Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud. AWS Managed Operations (MO) aims to reduce operational load and toil through long-term engineering projects and to own day-to-day operations for AWS Regions, improving availability, reliability, latency, performance and efficiency. The AWS Managed Operations Data Science (MODS) Team is seeking a Data Scientist to lead the research and thought leadership to drive our data and insight strategy for AWS.

You will serve as a Full Stack Data Scientist, responsible for driving data-driven transformation across the organization and managing the end-to-end data science lifecycle, from data exploration and ETL to model development and data visualization. You will leverage a diverse set of tools and technologies, including Spark and Airflow for analytics, AI frameworks (such as Hugging Face), and various machine learning frameworks to tackle complex business problems.

• 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

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, 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.
• Bachelors degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or Masters degree and 4+ years of data scientist experience

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 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

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 require a workplace accommodation during the application or hiring process, including support for the interview or onboarding process, please visit the accommodations page for more information. Our compensation reflects the cost of labor across several US geographic markets;

pay is based on location and other factors. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company -  Services LLC

Job : A3124720