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. •

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

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