Data Scientist

Data Scientist

Requirements

• 3 years of experience working with large data sets in one or more of the following environments – Hadoop, AWS, Azure or GCP
• 3 years of experience with statistical and data mining tools and methods
• 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)
• 3 years of experience working with SQL
• 3 years of experience working in a UNIX environment
• 3 years of experience in at least one scripting language (e.g., BASH)
• 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.)
• 3 years of experience with statistical packages
• 3 years of experience providing predictive and prescriptive analytics in a business setting
• Master’s degree in mathematics, statistics, computer science or a related field or equivalent experience

Responsibilities

• Design and implement metrics and testing methodologies to evaluate AI systems for responsible AI considerations
• Research and implement state-of-the-art techniques in responsible AI
• Perform disparate impact analysis on existing and new machine learning models
• Audit existing and new machine learning models for model performance, impact and reliability
• Develop tools for model developers to standardize model development lifecycle
• Write new functions or applications to conduct analyses
• Create and maintain documentation for model governance and regulatory compliance
• Collaborate with business stakeholders to translate governance requirements into technical specifications
• Contribute to the development of company-wide responsible AI guidelines and best practices
• Mentor team members on responsible AI practices and methodologies
• Apply sampling techniques to create representative datasets for model evaluation
• Compare models using statistical performance metrics, such as loss functions or proportion of explained variance
• Create graphs, charts or other visualizations to convey the results of data analysis
• Deliver oral or written presentations of the results of model evaluation and data analysis to stakeholders
• Communicate analyses, conclusions and solutions clearly to all audiences
• Develop and evangelize best practices for model development, evaluation and maintenance
• Drive the collection of new data and the refinement of existing data sources related to Responsible AI practices
• Mentor and train associate data scientists

Preferred Qualifications

• Experience with model explainability techniques
• Advanced understanding of data visualization libraries
• Advanced understanding of statistical methodologies for modeling and business analytics