Data Scientist

About the role

Identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Designs, develops and implements the most valuable business solutions for the organization. Prepares big data, implements data models and develops databases to support the business solutions.

Responsibilities

• Data Analysis and Visualization Development
  • Deliverables may include: rapid analysis scripts; visualization prototypes / models; interactive dashboards; visioning session materials; analysis reports and presentations; project plans and documentation.
  • Acceptance criteria: analysis techniques are appropriate for the given need and available data; project timelines are met within a reasonable variance due to uncertainty of the individual project; project documentation is accurate to the analysis findings and free of grammatical errors; products meet the Business Unit's needs and are usable by the Business Unit with minimal training.
• Modeling and Optimization
  • Deliverables may include: mathematical optimization models; source code and/or scripting; translational documentation for use in analytical and visualization product development; proposal presentations; project result documentation and presentations.
  • Acceptance criteria: model parameters and functions are appropriate for the given need and available data; project timelines are met within a reasonable variance due to uncertainty of the individual project; project documentation is accurate to the analysis findings and free of grammatical errors; products meet the Business Unit's needs and are usable by the Business Unit with minimal training.

Requirements

• Minimum of 13 full years of relevant experience with a degree, or 17 years without a degree.
• If the degree is not in the applicable field, an additional four years of related experience is required.
• A degree from an accredited college/university in the applicable field is preferred; four additional years of relevant experience may substitute for a degree.

Qualifications

• Academic background in data science, statistics, or experimental psychology (or related field).
• Proficiency in SQL and at least one of Python or R, preferably both.
• Strong communication skills.
• Proven ability to work across a variety of industries, demonstrating quick learning in complex environments.