Senior Data Scientist (Data Analyst Technical)

Nielsen logo

Nielsen

View Salaries, Reviews, and more  

Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Spark Git UNIX EC2 Analytics AWS Amazon S3

Job Description

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.


About The Role

The Big Data and Panel Integration team within the Data Science organization focuses on improving and enhancing Nielsen’s highly successful audience measurement products out in the marketplace for advertising and content measurement. As part of this exciting team, this position will focus on developing new methodologies to measure audiences across platforms (including on “connected” or “over the top” devices, smart tv’s, or set top boxes) and on evaluating and integrating new data assets and partners into Nielsen’s existing methodologies in order to enhance or expand the data delivered to clients. 

The Senior Data Scientist role provides an opportunity to contribute to methodological innovation in the exciting and fast changing world of media measurement. This position will develop new methodologies to measure audiences across platforms and integrate new big data data assets into Nielsen’s existing methodologies. This is an ideal position to grow as a researcher, contribute to innovative products, and deploy cutting edge methodologies across platforms in audience measurement methodology.

In this role, you will work closely with other members of the team to optimize the current codebase, create simulation environments and pipelines, and have the opportunity to conduct research that will enhance the utility of our data. You will also write new coding packages to support the refinement processes of behavioral media tuning data (e.g.viewer assignment, big data editing rules, big data refinement models) by producing production ready code (scalable, reusable/modular). In addition, you will have the opportunity to grow your data science skills (coding, analytics, statistics) through all aspects of the data science workflow and data product lifecycle. Responsibilities would range from methodology development, analysis, lightweight automation to designing and building robust/scalable code packages.


Responsibilities
  • Own reproducible data science projects end-to-end
  • Deploy and maintain data pipelines and models in a production environment
  • Work with cross-functional teams to productionize, validate, and optimize methodologies
  • Conduct research and analytics to ensure methodologies are fit for purpose and working as intended; troubleshoot, diagnose, and resolve when they are not
  • Provide technical mentorship
  • Communicate research findings to varying audiences
  • Develop, implement and maintain good programming standards and practices across our data science and analytics codebases
  • Champion and govern best practices for data use and software development
  • Use git and cloud development tools extensively to iterate and improve data science workstreams


Skills
  • Bachelor’s or Master’s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc
  • 3-5 years code development/research experience in a business setting
  • Strong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2)
  • Excellent problem solving and critical thinking skills
  • Excellent verbal and written communication skills
  • Excellent software engineering fundamentals
  • Excellent debugging skills
  • Excellent machine learning fundamentals
  • Outstanding statistical and analytical skills
  • Collaborative code development experience, including version control, unit/integration testing, code review and sharing
  • Curiosity and skepticism



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.


Interview Questions of Senior Data Scientist (Data Analyst Technical) at Nielsen

Interview questions from Nielsen that are similar to Senior Data Scientist (Data Analyst Technical)
View more interview questions from Nielsen →
banner icon
Prepare For Your Interview in 1 Week?
Equip yourself with possible questions that interviewers might ask you, based on your work experience and job description.
Get Started!

Salary Insights of Senior Data Scientist (Data Analyst Technical) at Nielsen

Currently, there aren't any salaries for this role at Nielsen shared by other job seekers.

View more salaries from Nielsen →

Achieve your dream job with our top-notch tools!

Resume Checker Illustration

Resume Checker

Our free resume checker analyzes the job description and identifies important keywords and skills missing from your resume in just a minute!

Check Now
Interview Preparation Illustration

AI InterviewPrep

Utilizing advanced AI, our tool generates tailored interview questions based on your industry, role, and experience. Practice and receive feedback on your answers in real time!

Check Now
Resume Builder Illustration

Resume Builder

Let us show you the differences between a bad, good, and great resume, and guide you in building a resume that helps you stand out to employers, ensuring you land your next position faster!

Check Now