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Finance - Statistician IV
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Finance - Statistician IV

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1 Vacancy
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Job Location

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- USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2625815
Position Title Senior Scientist Statistician/Data Scientist
if candidates are local to Neenah WI office that would be great but can be 100% remote also.

20 hours/ week (but could fluctuate) assignment to go for 6 months (possibility to extend but that is not guaranteed).

Advanced degree required plus a minimum:
5 years of work experience utilizing Advanced Statistics methods and project management.

Summary of Position
The Lead Statistician guides project teams by designing testing plans that efficiently and effectively address project needs and analyzing/interpreting study results. Provide consulting and education to product development partners and other testing teams on statistical methods.

Essential Functions
Ability to understand and incorporate advanced statistical principles related to hypothesis testing advanced statistical models experimental design and sampling techniques into projects
Contribute experimental design statistical analysis and data management plan to the Study Protocol
Complete statistical analysis and collaborate with customers to develop/communicate interpretive report
Apply unique statistical or graphical analysis techniques to increase the richness of business insights
Consult on and influence study design and conduct analysis for other internal testing teams (e.g. GCA and GMRA studies)

Education
Advanced degree (Masters Ph.D.) in Statistics or Data Science related major / discipline
Experience
Minimum: 5 years of work experience utilizing Advanced Statistics methods and project management
Preferred: Specific experience designing and analyzing consumer testing with track record of significant technical contributions
Successful engagement in teamoriented environment to successfully deliver business results

Skills
Advanced understanding of statistical analysis methods and experimental design and ability to transform statistical results into actionable knowledge
Proficiency with SAS for data management and advanced statistical modeling.
Ability to synthesize information across recent and historical studies
Ability to explain complex information in a simple to understand way written and verbal for technical and business audience.

Employment Type

Full Time

Key Skills

  • Spss
  • R
  • Regression Analysis
  • Stata
  • Survival Analysis
  • Clinical Trials
  • Statistical Software
  • Data Mining
  • SAS
  • Statistics
  • Data Analysis Skills
  • Statistical Analysis

About Company

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