The Data Scientist role blends analytical problem solving and project management.
Collaborate with business/ client stakeholders to understand their problems and structure an advanced analytical solution to solve it
Scan a broad spectrum of internal and external, structured and unstructured data to test hypotheses
Design, develop, and validate models built using a variety of modeling techniques
Work with cross-functional teams to put models into production and provide support on IT implementation and system integration of model
Work with stakeholders after model deployment to monitor the model for accuracy, for execution, and to ensure that it’s generating the desired impact.
Developing improvements to analytic techniques and best practices to solve business challenges
Sharing business knowledge, lessons learned, and ideas on business problem solving
Establishing and growing collaborative relationships across the organization.
Basic Qualifications (Any):
Bachelor’s Degree in computer science, Statistics or Mathematics and 5 or more years of experience transforming data in the business analysis area
Master’s degree in computer science, Statistics or Mathematics and 3 or more years of experience transforming data in the business analysis area
PhD in Computer Science, Statistics or Mathematics and 0 or more years of experience transforming data in the business analysis area
Advanced analytical and problem-solving skills
Ability to develop actionable solutions to business challenges
Advanced knowledge of statistical and predictive modeling techniques such as machine learning, decision trees, ensemble learning, clustering, regression, GLMs, and neural networks and their application to business decisions
Demonstrated experience in one or more of the above mentioned statistical and/or machine learning techniques
Experience with programming and data mining tools such as R, Python, SAS, SQL, Hadoop, Hive, or Pig
Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to audiences at varying levels of analytic understanding
Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects
Senior Data Scientist to coach and provide technical advice and counsel within and outside operating unit.