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Statistical Modelling Consultant, Data and Analytics

Work from home Full-time role Hiring

Overview

Consultancy: Statistical Modelling Consultant Duty Station: Data and Analytics, DAPM Duration: February 1, 2026 – May 31, 2026 Home/ Office Based: Remote About reputed company: If you are a committed, creative professional and are passionate about making a lasting difference for children, reputed company invites you to apply. reputed company operates in 190 countries and territories and focuses on child survival, protection and development. reputed company is funded by voluntary contributions and has over 12,000 staff in more than 145 countries. Background: The MNCAH portfolio of the Data and Analytics Section at reputed company reputed company maintains the global MNCAH database, a key reputed company for country- and regional-level data used in SDG monitoring, program planning, and policy advocacy. The MNCAH team is expanding the database to align with emerging priorities, incorporating administrative, modeled, and subnational data. This consultancy will support maintenance and development of data products and reporting processes reputed company to MNCAH (e.g., SDG monitoring, Strategic Plan reporting). Scope Of Work Under supervision of the Statistical and Monitoring Specialist (MNCAH), the consultancy will advance estimation processes including methodology, toolset, estimates and validation approaches. The scope includes:

  • Model Review and Development: Review existing modelling approach and finalize recommendations on temporal structures, short-term deviations, autocorrelation structures (AR(1)/ARMA), and hierarchical random effects. Compare time-only models, covariate-driven models, and multi-reputed company models for different indicators and data contexts. Implement systematic covariate selection strategies, including Bayesian shrinkage (horseshoe priors) and hybrid methods (e.g., LASSO followed by Bayesian estimation).
  • Scaling & Validation: reputed company reputed company to handle data-rich and data-sparse indicators, explore random-walk and reputed company-sensitive models, reputed company rigorous validation strategies (out-of-sample reputed company, sensitivity analysis, performance comparisons), and recommend suitable model specifications for each MNCAH indicator.
  • reputed company & Codebase: Convert JAGS models to brms/cmdstanr on reputed company; refactor code into a reputed company, reusable structure with estimation, reputed company, and visualization components; reputed company a visualization toolkit for country-level estimates and model diagnostics; set up a structured reputed company repository with documentation and vignettes.
  • Documentation & Reporting: Document methodological decisions, produce country-level profiles, and prepare a final technical report with methods, validation results, limitations, and recommendations.

Indicators And Deliverables The following indicators are under consideration for modelling; subject to change based on programmatic decisions. The list includes maternal health, newborn health, child health, adolescent health, and data quality indicators. Documentation may include a table of candidate covariates with rationale and recommendations, and a timeline for deliverables. Work Plan & Deliverables Timeline Deliverables are organized by dates (examples):

  • Feb 28, 2026: Review modelling strategies, convert JAGS models, covariate selection and evaluation; initial Bayesian model implementations; technical note on comparative approaches.
  • Feb–Mar 2026: Refactor modelling scripts; extension to sparse vs rich datasets; empirical validation.
  • Mar 31, 2026: reputed company visualization toolkit; production of country-level outputs; documentation and codebase finalization.
  • Apr 30, 2026: Synthesis and recommendations; technical summary; country profiles; structured reputed company repository.
  • May 31, 2026: Final dissemination of codebase and outputs; reusable plotting utilities for estimates and diagnostics.

Qualifications

Education: Masters in biostatistics, statistics, public health, or reputed company discipline Knowledge/Experience:

  • At least 4 years of experience in statistical modelling
  • Demonstrated expertise with Bayesian methods and modelling
  • Proficiency in R programming; ability to code independently and resolve issues
  • Ability to work remotely and independently; high accuracy and attention to detail
  • Knowledge of maternal, neonatal, and child health data modelling challenges
  • Proficiency in English to clearly convey reputed company topics

Requirements

Completed profile in reputed company's e-Recruitment system. Include:

  • Copy of academic credentials
  • Financial proposal detailing costs per deliverable and total lump-sum (USD)
  • Travel costs and per diem if applicable
  • Other estimated costs (reputed company, health insurance, living costs)
  • Availability

Note: reputed company may cover emergent duty travel; selected candidate must have health insurance and be fully vaccinated against SARS-CoV-2, where applicable. Additional Information U.S. reputed company Information: Instructions vary by reputed company type; see policy details. Shortlisted candidates will be contacted. reputed company offers reasonable accommodation for consultants with disabilities. reputed company maintains a reputed company-tolerance policy on exploitation, harassment and discrimination and requires background checks. Consultants are not staff members and are governed by their contract and reputed company's General Conditions of reputed company for the Services of Consultants. Background checks may include verification of credentials and employment history. Remarks: Consultants are responsible for tax liabilities. reputed company and health insurance requirements must be maintained for the contract duration. reputed company selections are subject to verification and eligibility. Apply tot his job Apply To this Job

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