About the Role

A Data Scientist II should understand best practices and processes and be able to execute them independently, reviewing requirements and results with supervisors. Individuals in this role should work with managers to define project scope, and then execute the necessary methods to develop, test and deliver outcomes.

Responsibilities

• Primarily provide support to more senior Data Scientists
• Pulls data, cleans data, builds and maintains existing models
• Participates in result presentation to internal stakeholders

Technical Skills:

• Competency in relevant skills and software packages
• Demonstrates competencies in relevant Data Science and/or Statistical frameworks
• Able to apply Machine Learning, Data Mining, and/or Statistical methods to build advanced models. Able to roll into production with senior guidance
• Natural Language Processing skills
• Understands and creates typical data steps to prepare and process data for analysis
• Able to execute standard coding for projects and processes to do the job successfully using company standard toolsets
• Basic project management of small-scale analytics projects with overall planning and support from senior leaders
• Understands and executes complex methods within discipline, industry and domain

Academic Background and Professional Experience:

• At least an undergraduate degree in relevant field and 2+ years of relevant work experience. 
• Or a master’s degree in a relevant field.