Description

Education and Experience »
Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline
Two or more years of project management experience.
Eight or more years of experience in data science.
Proficiency with data mining, mathematics, and statistical analysis.
Advanced experience in pattern recognition and predictive modeling.
Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS).

Knowledge, Skills and Abilities »
Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.

WHAT YOU’LL DO:
Job Responsibilities:
Collaborate with product design and engineering teams to develop an understanding of needs.
Keep current with technical and industry developments.
Research and devise innovative statistical models for data analysis.
Enable smarter business processes by using analytics for meaningful insights.
Serve as data strategist to identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team in the development of data products.
Communicate findings to all stakeholders.
Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
Analyze data for trends and patterns, and interpret data with clear objectives in mind
Execute analytical experiments to help solve problems across various domains and industries
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Implement analytical models in production by collaborating with software developers and machine-learning engineers

Education

Bachelor’s degree