Statistical Support Conusltant

Face to Face Interviews: Interviews for this position will be conducted in person only and will consist of an interview portion and a timed work sample. Local candidates are preferred.

TELECOMMUTING - This job is to be performed onsite,Monday-Friday, during business hours. Telecommuting is not an option for this position.

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Title : Statistical Support - Doc
Location : 32399,Tallahassee,FL
Duration : 2 + Months
Job Type : C
Description : 3. Scope of Work The contracted resource(s) will work under the direction of FLBOG and FLDOE staff to perform statistical analysis and data processing tasks, including: • Reviewing and interpreting: o Deidentified cohort datasets o Field definitions and data dictionaries

• Applying appropriate survey weighting methodologies, which may include: o Post-stratification o Raking (iterative proportional fitting) o Other accepted statistical adjustment techniques • Developing and applying: o System-level weights o Institutional-level weights
• Performing data validation and quality checks, including: o Review of weight distributions o Identification and mitigation of extreme weights o Verification of alignment with population characteristics
• Supporting documentation of methodologies and assumptions used All work will be performed in coordination with, and subject to review by, FLBOG/FLDOE staff.
  4. Data Inputs The contracted resource(s) will be provided with:

• Four (4) deidentified CSV response datasets (one per population group)
• Cohort-level datasets containing weighting variables
• Field definition documentation o Through Access to relevant data dictionaries (e.g., SUS Data Dictionary, FCS data dictionary)
  5. Work Products As part of assigned tasks, the contracted resource(s) will develop:

• Updated datasets containing: o System-level weight fields o Institutional-level weight fields
• Supporting methodological documentation describing: o Weighting approach o Assumptions and decisions o Validation techniques All datasets shall be produced in: • CSV format • ISO/IEC 8859-1 (Latin-1) character encoding

The resource(s) must ensure no introduction of nonprintable characters or data corruption during processing. 
Skills :

Required Qualifications Proposed resource(s) must demonstrate: Education

Bachelor’s or higher degree in: o Statistics o Biostatistics o Econometrics o Data Science or related quantitative field Experience

• Experience applying statistical weighting methods to survey or observational data
• Experience working with multi-population datasets
• Strong proficiency in one or more of: o R o Python o SAS o Stata Skills
• Ability to explain statistical methods clearly
• Experience producing technical documentation
• Strong data handling and quality assurance practices 

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If interested, please send a reply with your updated resume and the following details:

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