Jr Data Scientist

NielsenIQ; Cotia; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading consumer intelligence company in Brazil is looking for a JR Data Scientist responsible for designing universe studies, ensuring quality assurance and monitoring key performance indicators related to Panel Health. The role requires strong analytical and problem-solving skills, proficiency in statistical modeling, and the ability to work in a dynamic environment. If you have a strong command of English and experience in the Panel Quality value chain, we encourage you to apply for this exciting opportunity.

Serviços

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Qualificações

• Strong analytical and problem-solving skills.
• Proficiency in statistical modeling and data analysis.
• Experience with quality assurance processes.
• Ability to document complex methodologies clearly.
• Familiarity with KPI monitoring and RCA.
• Excellent communication and organizational skills.
• Ability to work independently and with teams.
• Knowledge of PoS production processes.
• Extensive experience working in an international environment.
• Strong orientation towards quality and solutions.
• Fluent in English.
• Experience within the Panel Quality value chain.

Responsabilidades

• Design and manage universe studies and methodologies.
• Optimize samples and address methodological issues.
• Model missing retailers and maintain complex models.
• Monitor KPIs and conduct root cause analysis (RCA).

Conhecimentos

Analytical and problem-solving skills

Statistical modeling

Data analysis

Quality assurance

Sample optimization

Communication skills

Organizational skills

Ability to document methodologies

KPI monitoring

Root cause analysis

Teamwork

Descrição da oferta de emprego

Job Description

The JR 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 key activities:

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 such as 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 hand over 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

• Strong analytical and problem-solving skills.
• Proficiency in statistical modeling and data analysis.
• Experience with quality assurance and sample optimization.
• Ability to document and explain complex methodologies clearly.
• Familiarity with KPI monitoring and root cause analysis.
• Excellent communication and organizational skills.
• Ability to work independently and as part of a team.
• Knowledge of production processes for PoS.
• Extensive experience working in an international environment.
• Strong quality orientation and solution‑driven mindset.
• Strong command of the English language.
• Extensive experience within Panel Quality value chain.
• High knowledge about all PoS (RMS) value chains.

This role is ideal for individuals with a keen eye for detail and a passion for data science and quality assurance. If you enjoy working in a dynamic environment and have the skills listed above, we encourage you to apply for the Data Scientist position.

Additional Information

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state‑of‑the‑art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com.

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit https://nielseniq.com/global/en/news-center/diversity-inclusion.