Data Scientist II — Cloud Ops Intelligence & ML

Amazon Web Services (AWS); Arlington (VA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

RSUs

Job summary

Amazon Web Services (AWS) seeks a Data Scientist to lead the research and thought leadership across MOI, owning end-to-end data science lifecycle including data exploration, ETL, model development and visualization. You will work with Spark, Airflow, and AI frameworks to tackle complex problems and partner with cross-functional teams across AWS operations.

The role sits in Northern Virginia HQ with a strong emphasis on data-driven transformation, mentoring, and building scalable solutions in a

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) 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.

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.

Skills

SQL

Python

Statistics

Machine learning

R/SAS

Tools

Spark

Airflow

Hugging Face

Job description

Amazon Web Services (AWS) seeks a Data Scientist to lead the research and thought leadership across MOI, owning end-to-end data science lifecycle including data exploration, ETL, model development and visualization. You will work with Spark, Airflow, and AI frameworks to tackle complex problems and partner with cross-functional teams across AWS operations.

The role sits in Northern Virginia HQ with a strong emphasis on data-driven transformation, mentoring, and building scalable solutions in a