Sr Data Scientist

Key Skills

SQL, Python Programming, R Programming, AWS, Tableau, Scala Programming

Job Description

Cloud Platform Engineering creates software solutions in the cloud and for Disney teams to operate in the cloud. We enable them to do more in the cloud securely, and in less time. You will be the first Data Scientist to join this team! We do so by providing:

• cloud account provisioning and automation
• centralized cloud logging, operational and best practices insights
• cloud cost related analytics and avoidance recommendations

Responsibilities:

• Provide data driven solutions for business needs related to enterprise and individual cloud accounts including but not limited to cost analytics and avoidance recommendations.
• Answer business questions using cloud data and cloud data analysis tooling.
• Design, educate and implement data solutions as scalable cloud solutions.
• Understand the current and ongoing landscape of analytical techniques including classic statistical analysis, data modeling, regression, anomalous detection, clustering, contextualization, etc.
• Mitigate cognitive biases in generation and presentation of reports and information
• Education of stakeholders, teams and leadership
• Communicate insights, design and implementation to both technical and non-technical audiences
• Partner with internal data experts, developers, and tech teams to develop and maintain existing solutions and create new solutions.

Basic Qualifications:

• + years of hands-on experience designing, building, and evaluating practical data science solutions to solve business problems
• 3+ years Python or R
• 2+ years in AWS or Azure
• 1+ years in machine learning
• Experience in data capture, analysis and reporting in a cloud environment
• Proven track record of extracting accurate conclusions and identifying trends from quantitative information.
• Experience providing and communicating complex quantitative analysis reports and data visualization in a clear, precise, and actionable manner
• Experience driving and completing projects through technical leadership in a complex, matrixed organization Skills:
• Knowledge and understanding of cloud KPIs regarding cost, usage and operational dimensions
• Knowledge and experience with SQL and NoSQL design, DDL and DML.
• Knowledge and experience with Big Data management, processing and analysis tools and strategies in Azure and/or AWS
• Knowledge and experience with cloud available Machine Learning frameworks and tools such as Tensor Flow , PyTorch, ONNX, etc
• Data processing & ML languages (Python, R)

Preferred Qualifications:

• Knowledge and familiarity with data visualization and presentation tools and strategies.
• Understanding of data sovereignty and data localization and how they impact implementation for data processing, aggregation, analysis and presentation.
• AWS Certification - Machine Learning
• MS Certification - Azure Data Scientist Associate
• MS Certification - Azure AI Engineer Associate

Required Education

• Masters or equivalent work experience