Company 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.
Responsibilities
Use and fit different mathematical and econometric models for explanatory purposes that deliver better decisions, and create high-quality data visualizations for internal and external purposes.
Research, design and implement analytic and mathematical approaches and algorithms to build scalable best of class web-based analytical solutions
Design and test analytical modules for Nielsen modeling platforms
Partner with our Software Engineering department to build best-of-class web-based analytical solutions
Document and present methodology inside and outside the company
Qualifications
Requirements
PhD or Masters degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or Related field
4+ yrs experience in working in Data Science and/or Statistical analysis
Expertise in Python, Spark, SQL or other modern programming languages
Experience in using machine learning libraries and techniques
Proficient in writing production grade code using scientific computing packages (e.g., NumPy, SciPy, Scikit-learn)
Experience with Bayesian and Frequentist statistics
Experience with NumPyro is a plus
Familiarity with cloud providers (e.g. AWS, Azure) is a plus
Experience in code management, docker, and CI/CD pipelines is a plus
Excellent oral and written communication skills
Well-organized and capable of working independently on mission-critical projects while meeting deadlines
Quick learner with a logical mindset and analytical thinking who is passionate about technology
Experience in short-release life-cycle (agile processes including scrum) is a plus
Additional Information
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.
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.
Skills Required
- PhD or Masters degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field
- 4+ years experience in Data Science and/or Statistical analysis
- Expertise in Python
- Expertise in Spark
- Expertise in SQL
- Proficient in production-grade code using scientific computing packages (NumPy, SciPy, Scikit-learn)
- Experience using machine learning libraries and techniques
- Experience with Bayesian and Frequentist statistics
- Excellent oral and written communication skills
- Ability to work independently and meet deadlines on mission-critical projects
- Quick learner with logical mindset and analytical thinking
- Experience with NumPyro
- Familiarity with cloud providers (AWS, Azure)
- Experience in code management, Docker, and CI/CD pipelines
- Experience with short-release life-cycle (Agile, Scrum)
Nielsen Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nielsen and has not been reviewed or approved by Nielsen.
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Parental & Family Support — Paid parental leave is described as generous for all parents, with birthing parents receiving substantially longer time, and the program is complemented by adoption, fertility, and surrogacy support. Employer-verified entries and company communications consistently highlight family benefits as a standout.
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Leave & Time Off Breadth — Paid time off is considered solid, with some teams using flexible or unlimited PTO models and additional offerings like paid volunteer time. These time-away policies often contribute meaningfully to work-life balance.
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Wellbeing & Lifestyle Benefits — Smart Work flexibility, an Employee Assistance Program, and broader well-being initiatives are emphasized as part of a holistic package. These elements are frequently cited as strengths that enhance day-to-day experience.
Nielsen Insights
What We Do
Nielsen shapes the world’s media and content as a global leader in audience insights, data and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future. An S&P 500 company, Nielsen (NYSE: NLSN) operates around the world in more than 55 countries.
