Statistician Staffing & Jobs
Certified Staffing Solutions has expertise in recruiting & providing staffing
services for Statistician jobs for
temporary/contract, temp to hire
and permanent positions.
Employers
Request Statistician Staffing Services
Job Seekers
Submit your Statistician Resume
Statistician Details
Typical Statistician duties and responsibilities include:
Job Description: Writing and implementing
computer programs to make statistical calculations necessary for selecting samples;
discussing and providing specifications to the task leader/project director and
construction of data files from which these samples are drawn and from which variances,
statistical weights, and standard errors are calculated; performing quality control
procedures to ensure the accuracy of sampling procedures implemented; contributing
to and/or reviewing the sampling sections of sample design reports, final technical
reports, and other documentary deliverables; and working with the client on sampling
issues, providing technical information on the types of analyses, limitations of
the data, and strengths/weaknesses of various sampling strategies. Other responsibilities
include calculating weights, non-response rates, and standard error estimates as
part of documenting sample selection and implementation and carrying out substantive
analysis on projects with analytical deliverables.
Responsibilities:
- Create predictive models from complex data
- Provide programming support to facilitate modeling,
statistical analyses, and for the development of end-user tools
- Work with statisticians and non-statisticians in the
development of improved methods and processes for implementing predictive analytics
- Collaborate with chemists and engineers on statistical
matters, understand their problems, and find creative ways to address the issues
- Effectively communicate results through oral presentations
and written reports
Qualifications:
- Masters degree in statistics or closely related field
- Up to 5 years experience in statistics
- Strong interest and skills in modeling, statistical
programming, and problem solving
- Ability to work with large and/or messy data sets
- Good oral and written communication skills with the
ability to collaborate effectively