Data Scientist for Media Innovation
6 days ago
Nexxen empowers advertisers, agencies, publishers, and broadcasters to leverage data and advanced TV solutions. Our technology stack includes a demand-side platform (DSP) and supply-side platform (SSP), with the Nexxen Data Platform at its core.
As a Senior Data Scientist, you'll lead efforts to deliver high-quality viewership data, enabling advertisers to optimize campaigns across Linear TV and OTT. You'll design and enhance a smart TV data collection and reporting system that powers cutting-edge advertising technologies.
This role offers the opportunity to influence key architectural decisions, develop scalable solutions, and collaborate with a cross-functional team on a global stage. Your responsibilities will include:
- Maintaining and advancing Nexxen's Smart TV ACR data collection, quality assurance, and reporting infrastructure.
- Analyzing new methodologies to ensure accurate identification and classification of media content.
- Developing real-time solutions to monitor system performance metrics and ensure data quality.
- Collaborating with Engineering, Product, and other Data Science teams to understand product requirements.
To succeed in this role, you'll need strong analytical skills, experience in statistical analysis and hypothesis testing, and understanding of the TV and media landscape. Familiarity with ACR techniques and programming languages like Python, Scala, SQL is a plus.
In support of pay transparency, the estimated annual base salary for this role in New York is $172,500, with the potential for an incentive or bonus. The company offers a range of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, discretionary time off, and company-paid holidays.
This role requires a PhD in Mathematics, Engineering, Computer Science, or a related field with 5 years of related work experience, Master's degree with 6 years of related work experience, or a Bachelor's degree with 8 years of related work experience. Experience working with machine learning frameworks like TensorFlow, PyTorch, Scikit-learn, Keras, Pandas is also desired.
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