Statistics Coordinator

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Statistics Coordinator Remote | Colombia, , Colombia Company Description: Purpose of the role - mission: The Data Scientist role is responsible for designing and managing universe studies, setting up the extrapolation for Retail Panels, documenting methodologies, ensuring quality assurance, and monitoring key performance indicators(KPIs) related to Panel Health. This role requires a strong background in data analysis, statistical modeling, and quality control processes, as well as strong production system processes for PoS Job Description: 1. Methodology and Universe Studies: • Design and manage universe studies, including project management. • Document methodologies for transparency and provide clear explanations of existing methods. • Review results of universe studies and insert changes in the POS Manager. • Conduct impact analysis of universe studies. • Design and simulate extrapolation setups for new panels and sign off on the designs. 2. Quality Assurance: • Optimize samples by analyzing shop contributions, detecting MDQC (Market Data Quality Check) outliers, meeting target sample requirements, and addressing issues like empty shops and slow sales. • Detect and address systematic methodological issues and prepare cleanup impacts for critical findings (end-to-end). 3. Modeling and Extrapolation: • Model missing retailers completely outside the system and maintain complex models. • Support the setup of modeling missing retailers in the system and handover to Stat Ops for ongoing maintenance and execution. • Implement new country-channel setups, including reviewing channel definitions, designing universes and samples, and providing setup instructions. 4. Quality Monitoring: • Resolve Level 2 methodology clarification issues. • Monitor KPIs and conduct root

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