Data Scientist

This position will work remotely for the duration of the engagement. The candidate will have to come onsite the first day to collect equipment.The Data Scientist you will work in collaboration with our business and IT people to create insight from data. The work will require solving complex problems by turning vast amounts of data into business insights through data exploration, data modeling, and advanced analytics including machine learning and AI. The candidate should have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. They will proactively ingest information from various sources and analyze it to create a better understanding about how the business is performing. Furthermore, the Data Scientist models and builds AI tools that automate certain processes within the organization. The solutions produced will be implemented to execute upon the organization’s mission statement.

• Develop an understanding of business objectives and obstacles, create solutions based on advanced analytics, and draw implications for model development.
• Combine, explore, and draw insights from data, often from large and complex data assets from different parts of the organization.
• Identify and interpret trends and patterns in complex data sets to enable the business to take data-driven decisions.
• Design and build descriptive, predictive, or prescriptive models, utilizing optimization, simulation, and machine learning techniques.
• Prototype and pilot new solutions and help ‘productize’ those valuable solutions that can have impact across the organization
• Guide and coach other colleagues to help solve data/technical problems at an operational level, and in methodologies to help improve development processes.
• Help non-technical staff understand technical answers/solutions.

• Good understanding of analytics
• Strong communication skills, orally and in writing
• Extract and present information from complex datasets
• Understanding of business requirements and generate insights
• Demonstrated experience in building mathematical and advanced analytics models, validates, and work with them
• Ability to validate and follow up on results
• Explain complex topics tailored to the audience’s level of technical understanding
• Establish priorities with clear goals and responsibilities to achieve a high level of performance.
• Work in an agile and iterative manner on solving problems
• Evaluate different options proactively and ability to solve problems in an innovative way.
• Develop new solutions or combine existing methods to create new approaches