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Amazon · 2 months ago

Data Scientist II, AWS Managed Operations Data Science (MODS)

Arlington, Virginia, USA

Full-time

Onsite

Mid, Senior Level

$126K/yr - $213K/yr

3+ years exp

Amazon is a leader in providing cloud infrastructure through AWS, and they are seeking a Data Scientist II to join their Managed Operations Data Science team. The role involves leading research, driving data-driven transformation, and managing the end-to-end data science lifecycle to improve AWS operations.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail

No H1B

U.S. Citizen Only

Responsibilities

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

Qualification

Data ScienceMachine LearningData Querying LanguagesStatistical AnalysisData VisualizationData Pipeline DesignClustered Data ProcessingCross-functional CollaborationProblem SolvingCommunication Skills

Required

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

Bachelor's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or Master's degree and 4+ years of data scientist experience

Preferred

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