Assistant Data Scientist

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

**ABOUT THE JOB**

At Nielsen we understand the importance of knowing what consumers Watch and Buy. As the world’s largest research organization, Nielsen is powered by talented, creative scientists and researchers. Because the measurement is at the core of our business, our products have high visibility and make a direct impact on our clients.

**ROLE DETAILS**:

- Understand the objective of the statistical and econometric models, and supervised and unsupervised learning methods, we deploy.
- Create various data processing systems for analytic research and development purposes.
- Design and write modules for Nielsen analytics platforms using Python, Pandas, Scikit-Learn, R, Spark MLlib and PySpark.
- Extract data from platforms using SQL.
- Document, design and present process flows for analytical systems.
- Partner with our Software Engineering department to build best-of-class cloud-based analytical solutions.

**ROLE QUALIFICATIONS AND SKILLS**:

- Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study such as a MCA or M Tech in Computer Science of allied fields.
- 2+ years of work experience in delivering analytics software solutions for a production platform.
- 2+ years of work experience in gathering data requirements for analytics.
- Expertise in analytics programming languages, such as Python (with Pandas), Apache Spark, SQL and R.
- Exceptional problem solving skills.
- Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines.
- Excellent verbal and written communication skills.

**DESIRED SKILLS**:

- Experience with household/person-level loyalty card analytics.
- Experience in marketing mix modeling with Nielsen or IRI syndicated data.
- Experience with AWS.
- Short-release life-cycle experience (agile processes including scrum).

**ABOUT THE TEAM**

The primary analytic objectives for Global Research & Analytic Development, Marketing Effectiveness (GRAD ME or simply GRAD) are Causal Inference, development of Optimization & Simulation Methods that facilitate Planning, and Predictive Modeling. Our Research & Analytic Development associates come from diverse disciplines that include business, economics, engineering, mathematics, operations research, political science, physics, and statistics. These professionals drive innovation and insight through continual ideation, complex analyses, and delivery of insights to our clients.

Data & Analytic Engineering is an essential element of our work and is an objective. We develop, test, implement, and support end-to-end automated and scalable multi-tenant reusable software solutions for the primary analytic objectives, to improve the department's cross-client operational efficiency, and to meet model-based business metric deliverable service level agreements. Our work streams typically include accessing data, quality controlling data, processing user inputs, implementing standardized

algorithms, enacting automated decision making capabilities, and executing informative analytic diagnostics.

**ABOUT NIELSEN**

Nielsen is a global leader in audience insights, data and analytics, shaping the future of media. Measuring behavior across all channels and platforms to discover what audiences love, we empower our clients with trusted intelligence that fuels action.

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