Summary of Major Responsibilities

The Associate Data Scientist performs data analysis to extract knowledge or insight from structured or unstructured data. He or she applies advanced statistical algorithms for analysis of large-scale, complex datasets. He or she keeps up to date with cutting-edge techniques in programming, machine learning, big data, and healthcare modeling and seeks ways to advance the organization's capabilities in analytics.

Essential Duties and Responsibilities

• Applies machine learning/deep learning/artificial intelligence techniques.
• Develops and implements Markov decision process models and healthcare economic models.
• Uses advanced analytics methods to extract value from business data.
• Performs large-scale experimentation and builds data-driven models to answer business questions.
• Creates hypotheses and experiments to identify hidden relationships and construct new analytics methods.
• Articulates a vision and roadmap for the utilization of data as a valued corporate asset.
• Visualizes information and develops reports on results of data analysis.
• Influences product teams through presentation of data-based recommendations.
• Spreads best practices to analytics and product teams.
• Implements new tools to make data analysis more efficient.
• Willingness and ability to learn new technologies on the job.
• Ability to communicate complex results to technical and non-technical audiences.
• Ability to work with minimal supervision.
• Desire to work in a highly collaborative environment.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company's Quality Management System policies and procedures.
• Regular and reliable attendance.
• Ability to lift up to 10 pounds for approximately 5% of a typical working day.
• Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 80% of a typical working day.
• Ability and means to travel between Madison locations.
• Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Qualifications

Minimum Qualifications

• Bachelor's degree in Statistics, Computer Science, or a related field; or High School Degree/General Education Diploma and 4 years of relevant experience in lieu of Bachelor's degree.
• 2+ years of experience working with large datasets for drawing business insights.
• Demonstrated working knowledge in Python or R programming.
• Professional working knowledge with machine learning (to solve complex business problems), predictive modeling, leveraging both structured and unstructured data source, relational databases, and SQL.
• Professional working knowledge of statistics and modeling techniques.
• Demonstrated ability to perform the Essential Duties of the position with or without accommodation.
• Authorization to work in the United States without sponsorship.

Preferred Qualifications

• Master's degree in related field of study.
• Professional working knowledge with distributed computing and big data technologies such as Spark or related technologies.
• Professional working knowledge with statistical methodologies and tools (R, SAS, SPSS, etc.), mathematical optimization, control theory, and time-series analysis.
• Professional working knowledge with Natural Language Processing, Information Retrieval, or Recommender Systems.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state or federal law. Applicable portions of the Company's affirmative action program are available to any applicant or employee for inspection upon request