Data Scientist II, Operations Intelligence (MOI)

Amazon; Charlton (MA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Data Scientist II for AWS MOI to lead end-to-end data science efforts, from exploration to model deployment, leveraging Spark, Airflow, and AI frameworks to tackle complex operations problems at scale.

You will work with cross-functional teams to drive data-driven transformation, develop and monitor advanced metrics, and apply ML techniques to improve observability, reliability, and efficiency across AWS regions.

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

Data science experience

SQL/Python/R experience

ML/statistical modeling

Statistics measures knowledge

Tools

Hadoop

Spark

MapReduce

Hive

Job description

Amazon is seeking a Data Scientist II for AWS MOI to lead end-to-end data science efforts, from exploration to model deployment, leveraging Spark, Airflow, and AI frameworks to tackle complex operations problems at scale.

You will work with cross-functional teams to drive data-driven transformation, develop and monitor advanced metrics, and apply ML techniques to improve observability, reliability, and efficiency across AWS regions.