NielsenIQ
Market Research
StatisticsCoordinator
Neural analysis suggests this role is
optimal for mid candidates.
“Statistics Coordinator at NielsenIQ. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and implement data models. Build and maintain data pipelines”
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
5+ years Python, SQL proficiency, Statistics degree required, Computer Science degree required, Mathematics degree required
Nice to Have
PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow
What You'll Do.
Develop and implement data models
Build and maintain data pipelines
Design and deploy machine learning models
Create and manage business intelligence dashboards
Perform statistical analysis
Conduct data exploration
Collaborate with stakeholders
Ensure data quality and integrity
Optimize data infrastructure
Stay updated on industry trends
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders
Full Job 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 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 cause analysis (RCA) for panel health,focusing on samples, missing retailers, universes, copy shops, and MDQC related to samples and extrapolation. • Define and specify improvement points for panel health. ## Qualifications Skills: • 8+ years of relevant experience (flexible based on expertise) • Str
Applying for this Statistics Coordinator role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about NielsenIQ?
Real rants from real employees. Read before you apply.