Data Scientist

🔥 3 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nielsen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1923

📱 Media

📣 Marketing

💰 Post-IPO Debt on 2023-02

Media • Data Analytics • Marketing

Nielsen is a global measurement and data analytics company that provides audience measurement and media metrics solutions across various platforms. They offer cross-media measurement services spanning TV, digital, streaming, and audio for more precise media planning and marketing optimization. Nielsen's flagship product, Nielsen ONE, integrates these services to deliver a comprehensive view of audience habits and preferences. Additionally, they offer insights and tools for understanding consumer behavior and optimizing marketing strategies, backed by a robust data infrastructure including big data and panel methodologies. Nielsen also champions diversity and inclusion, emphasizing a culture supported by a diverse workforce and numerous business resource groups.

📋 Description

• Research, design, develop, implement and test econometric, statistical, optimization and machine learning models • Gain a deep understanding of PPM sampling methodology and become an expert in Audience Measurement, focusing on panel management strategies • Query large relational databases for analyses and requests • Use Python, Tableau, R and other tools for complex data analysis and visualizations • Oversee, maintain and evolve data algorithms for managing PPM Sample Methodology in a time-critical production environment • Maintain and update departmental procedures, checklists and metrics • Serve on interdepartmental teams to propose, evaluate and implement new initiatives • Support requirements writing, new software development and testing • Respond to internal and external client requests with data-driven solutions • Incorporate quality checks to detect and correct errors in production processing and analysis • Facilitate code reviews and drive modular code, unit tests and CI/CD best practices to ensure product quality, stability and scalability

🎯 Requirements

• Bachelor’s Degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering or a related field • 3+ years of professional work experience in Statistics, Data Science, and/or related disciplines, with focus on delivering analytical software solutions in a production environment • 3+ years of experience manipulating, analyzing and interpreting complex data sources • 3+ years of experience programming in Python, PySpark and SQL for data pipeline development used to support analytics • 3+ years of experience with data visualization using Tableau and/or similar tools • Experience working in cloud-based environments such as AWS • Experience with DevOps tools, code management and CI/CD workflows using Gitlab or similar tools • Project management skills, including ability to prioritize multiple assignments • Well-organized, clear communication, and ability to handle multiple competing priorities in a fast-paced environment • Readiness to explore new solutions and commitment to rapid iteration based on customer feedback • Strategic thinking and understanding of the broader impact of data insights on product and business objectives • Exceptional problem-solving skills • Ability to solve problems independently and within a cross-functional team • Nice to have: working knowledge of ANOVA, Chi-squared, correlation, regression, and Student t-test • Nice to have: expertise querying large datasets with SQL and working with Oracle/Netezza/Data Warehouse and Data Lake data structures

🏖️ Benefits

• Employees can work remotely • Equal opportunities and a diverse and inclusive workplace • Work environment free from discrimination and harassment