Nielsen · 18 hours ago
Data Scientist
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Responsibilities
Build, evaluate, and maintain propensity models at scale
Write production level code that integrates seamlessly into already productized model building pipeline
Develop and implement new machine learning techniques to improve performance of client facing models in production
Automate model surveillance and maintenance in order to streamline modeling system
Research and develop new use cases for Nielsen Identity data assets
Support the business and client teams by investigating complex analytical challenges
Stay up to date on industry changes to digital measurement (e.g., new devices and platforms, privacy laws updates, changes in browser/app measurement, etc.) and critically assess how it would impact Nielsen measurement
Engage in discussions on strategic direction of product from a client perspective
Stay informed of new research and developments in the field
Confidently represent Data Science methods and approaches to internal and external partners and clients
Participate in internal and external knowledge exchanges (conferences, workshops, webinars)
Qualification
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Required
This position requires a detail-oriented person who has experience in big data analysis using multiple data sources and statistical research, and who enjoys working in a fast-paced environment.
Ability to problem-solve, work independently on critical initiatives and see the big picture are keys to success in this position.
Master’s in statistics, quantitative social sciences, economics, operations research, or hard sciences (e.g. engineering, computer science, biology, physics, etc.) with outstanding analytical expertise and strong technical leadership.
OR 1-2 years of work experience focusing on the following:
Creating, organizing, analyzing, and correcting very large datasets using statistical models.
Coding in data science-related programming languages; required experience with Python (numpy, pandas, sci-kit learn, etc.).
Proficiency in SQL & big data technologies.
Leading and managing complex projects with multiple stakeholders.
Excellent communication & presentation skills (written and verbal).
Experience in media or marketing analytics, e.g. lookalike modeling, insights analysis, customer segmentation.
Ability to work independently and solve complex problems.
Naturally curious, has a passion for solving problems and critical thinking.
Good vibes, integrity, and good work ethic.
Preferred
Experience with online media and the ad tech ecosystem
Experience working with global cross-functional teams of various sizes
Experience with machine learning techniques
Experience working with cloud-based computing and storage solutions, preferably AWS
Working knowledge of Bash and Git
Experience with other tools common to the data science world such as Airflow, Spark, MLlib, MLflow, Tensorflow, and PyTorch
Experience with data visualization tools (e.g. Superset)
Benefits
Health & wellness plans for full-time employees
401(k) retirement coupled with a Nielsen match
A generous paid time off policy
A discretionary incentive/bonus
Company
Nielsen
Nielsen provides a comprehensive understanding of what consumers watch and buy.
H1B Sponsorship
Nielsen has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (54)
2022 (129)
2021 (117)
2020 (136)
Funding
Current Stage
Public CompanyTotal Funding
$650M2023-02-06Post Ipo Debt· $650M
2022-03-29Acquired
2011-01-26IPO
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