Data Scientist II

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Responsibilities:

• Business Intelligence & SME Development: Actively learn business ecosystems to provide expert-level insights and generate data-driven solutions for internal and external requests.
• Statistical Testing & Analysis: Apply a strong statistical background to conduct tactical or strategic analyses, including the use of A/B testing and other rigorous procedures to address business opportunities.
• Process Migration: Work closely with various stakeholders to engineer new methods and migrate existing processes from one tool to another while ensuring uninterrupted production and data integrity.
• Model Development: Develop and implement rate forecast models, data mining solutions, and machine learning techniques to improve sample acquisition and planning processes.
• Data Visualization: Utilize Alteryx and Tableau to perform complex data analysis and create visualizations that deliver insights into survey performance.
• Automation & Engineering: Design tools to better plan, predict, and monitor sample performance, including writing and testing new logics to meet end-user requirements.
• Data Management: Query data from large relational databases using SQL to support various analyses.

Key Skills & Qualifications:

• Education: Undergraduate or graduate degree in mathematics, statistics, engineering, computer science, or fields that employ rigorous data analysis.
• Experience: 3+ years’ experience in data science, data analysis, or operations research.
• Statistical Proficiency: Mastery of statistical tests and procedures such as ANOVA (A/B testing), Chi-squared, Correlation, Regression, Student t-test, and Time Series.
• Technical Skills:
• Experience with SQL, Oracle, or other relational database software for manipulating large datasets.
• Proficiency in Tableau, BI, or other data visualization software.
• Knowledge of the Apache Spark ecosystem, Databricks, and AWS.
• Core Competencies: Strong critical thinking, creative problem solving, and the ability to work in a time-critical production environment.

Preferred Skills:

• Knowledge of process improvement methodologies such as Lean and/or Six Sigma.
• Proficiency in Alteryx, Python coding, including SciPy, NumPy, and Pandas packages.
• Knowledge of survey sampling methodologies and data collection techniques.
• Familiarity with the Atlassian suite (Jira, Bitbucket, Confluence).
• Knowledge of machine learning techniques like Random Forests, Neural Networks, and Incremental Response Modeling

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.