Senior Data Scientist

Senior Data Scientist

Requirements

• 5 years of experience with statistical and data mining tools and methods
• 5 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)
• 5 years of experience working with SQL
• 5 years of experience working in a UNIX environment
• 5 years of experience in Python
• 5 years of experience with statistical packages
• 5 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
• Advanced understanding of data visualization libraries
• Advanced understanding of statistical methodologies for modeling and business analytics

Responsibilities

• Analyze, manipulate and process large sets of data
• Develop predictive and prescriptive statistical models from large sets of structured and unstructured data
• Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models
• Develop machine learning algorithms
• Apply feature selection algorithms to models predicting outcomes of interest
• Apply sampling techniques to determine groups to be surveyed
• 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 mathematical modeling and data analysis to stakeholders
• Identify business problems or leader objectives that can be addressed through data analysis
• Identify relationships and trends or any factors that could affect the results of research
• Identify and propose solutions to business problems using the results of data analysis
• Test, validate and reformulate models to ensure accurate prediction of outcomes of interest
• Write new functions or applications to conduct analyses
• Own the deployment of applicable models for business projects
• Communicate analyses, conclusions and solutions clearly to all audiences
• Sequence the steps involved to deliver a working model, estimate the timelines for the completion of work and communicate this information to the project manager
• Advise project teams on application improvements that will result in enhanced predictive and prescriptive models
• Develop and evangelize best practices for statistical or behavioral models
• Drive the collection of new data and the refinement of existing data sources
• Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses
• Mentor and train associate data scientists

Preferred Qualifications

No preferred qualifications provided.