Senior Data Scientist (P2)

Job Description

This job posting has expired and no longer accepting applications.

Job Summary

The Strategic Research team within the Nielsen One Data Science organization focuses on expanding and enhancing Nielsen’s digital measurement and optimization products. This branch of the team supports Digital Content Ratings as well as Nielsen Streaming Signals. The latter is a new and innovative product launching for streaming providers to optimize their ad inventory in real time.

The Senior Data Scientist role provides an opportunity to innovate and implement cutting edge technologies in the exciting and dynamic world of content measurement and digital advertising. This position is ideal for a data scientist with some experience to hone their technical skills while working cross-functionally with Product leaders and software engineers to build sustainable and desirable products.

In this role, you will work closely with other members of the team to optimize the current codebase, create simulation environments and pipelines, and conduct research that will enhance the utility of our data. In addition, you will have the opportunity to grow your technical knowledge through all aspects of the data science workflow. Responsibilities include the following: ML research and implementation, investigative data analysis, code optimization, ETL and automation, and creating robust/scalable packages for production pipelines.

Responsibilities

Research and implement methods for demographic prediction for measurement and optimization use cases.

Conduct detailed data analysis and quality assessment for available data assets.

Translate new methodologies into functional modules, including unit tests and quality control checks.

Provide data-driven recommendations for promoting enhancements to production, including client-focused simulations.

Identify root causes and solve any bugs or quality escapes.

Contribute detailed documentation of new methodologies, research findings, and best practices.

Work with cross-functional team members to test and push methodology updates to production.

Execute projects from beginning to end including design, execution, and summarization.

Explain complex data science concepts in simple terms to non-technical audiences.

Key Skills

Bachelor’s degree in a quantitative programming field, such as computer science, data science, engineering, statistics, mathematics, biological/physical sciences, etc.

2-3+ years of professional work experience in Statistics, Data Science, and/or related disciplines.

Strong Python skills.

Experience with sophisticated data mining & modeling solutions and the tools that support them (e.g. Scikit-learn, PyTorch, PyMC3).

Experience with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines.

Familiarity with DevOps tools and CI/CD workflows including Git.

Well organized, self-motivated and an ability to handle multiple competing priorities in a fast-paced environment.