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

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Job Summary:

Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud. The AWS Managed Operations Data Science (MODS) Team is seeking a Data Scientist to drive data-driven transformation and provide insights that inform operations and engineering teams. This role involves managing the end-to-end data science lifecycle and collaborating with cross-functional teams to solve complex business problems.

Responsibilities:

• Collaboration & Cross Functional Relationships: Interact with business and software teams to understand their business requirements and operational processes

• Data Exploration and Analysis: Conduct in-depth exploratory data analysis to understand the structure, quality, and patterns within complex datasets. Apply statistical and machine learning techniques to extract insights, identify trends, and uncover hidden relationships in the data.

• Business Insights and Recommendations: Frame business problems into scalable solutions; translate complex data insights and model outputs into actionable recommendations that address the organization's strategic objectives.

• Data Pipeline and Infrastructure: Contribute to the design and implementation of data pipelines, data lakes, and other data infrastructure components to support the organization's data-driven initiatives.

• 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

• Prototype models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production.

• Documentation & Continuous Improvement: Create, enhance, and maintain technical documentation

Qualifications:

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.

• Master's Degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with 2 years' experience in Data Science or related Science discipline, OR, Bachelor's Degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with 5 years' experience in Data Science or related Science discipline

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

Company:

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. Founded in 2002, headquartered in Seattle, Washington, USA, team size 10001 employees, currently Late Stage.