Data Scientist

  • acuity INSURANCE
  • Sheboygan, WI, USA
Full Time Data Science

Job Description

We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.


EDUCATION: Bachelor’s degree in Data Science, Statistics, Math, Computer Science, Economics, or related field. Preferred: Advanced graduate level degree in a quantitative discipline (statistics, applied mathematics, computer science, econometrics, or related field).

EXPERIENCE: 3+ years relevant experience to include research and data analysis, experiment design and measurement, or application of statistical research techniques.


  • Excellence in research, quantitative analysis, problem solving, and analytical working techniques.
  • Knowledge in both statistics and intuition to inform highly complex and sophisticated business questions.
  • Aptitude for learning new analytical and visualization tools, modeling, and quantitative techniques.
  • Initiative to independently design and develop own deliverables while still being a team player.
  • Ability to deliver results and recommendations in written, verbal and presentation form at an appropriate level for internal and external constituents.


  • Develop solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization.
  • Lead analytical research and development, leveraging data-based insights & decision support, to guide senior business partners in the activation of data driven insights and opportunities.
  • Partner with business clients and technical leaders to spearhead the development of standards for appropriate statistical methodology, study design, power and sample size estimation, and data analysis plans for predictive analytics.
  • Provide data driven decision support for key initiatives of company strategy and measurement related to client, claims, sales, and campaign analyses to understand both growth and economic impact.
  • Present analytical results effectively and derive recommendations for action to senior leaders, peers, and product team members.
  • Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation.
  • Contain knowledge in one or more statistical analysis tools such as R, Python, Emblem, SAS, SQL, SPSS, or other tools. Tableau experience is a plus. 
  • Regular and predictable attendance.
  • Performs other duties as assigned.

This job is classified as exempt.

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