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Data Scientist II, AWS Managed Operations Data Science
1 month ago
We are seeking a highly skilled Data Scientist to join our AWS Managed Operations team. As a Data Scientist, you will be responsible for driving data-driven transformation across the organization, leveraging a diverse set of tools and technologies to tackle complex business problems and uncover valuable insights.
Key responsibilities include:
- Collaborating with business and software teams to understand their business requirements and operational processes
- Conducting in-depth exploratory data analysis to understand the structure, quality, and patterns within complex datasets
- Applying statistical and machine learning techniques to extract insights, identify trends, and uncover hidden relationships in the data
- Frame business problems into scalable solutions and translate complex data insights and model outputs into actionable recommendations that address the organization's strategic objectives
- Defining and developing advanced, customized metrics and key performance indicators (KPIs) that capture the nuances of the organization's strategic objectives and operational complexities
We are looking for a candidate with 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, and knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Preferred qualifications include 6+ years of data scientist experience, 4+ years of machine learning, statistical modeling, data mining, and analytics techniques experience, and experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent).
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
