Senior Data Scientist, ACR

Who is Nexxen?  Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform (“DSP”) and supply-side platform (“SSP”), with the Nexxen Data Platform at its core. With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Why join the Nexxen team?With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. At Nexxen, we’ve built a strong Automatic Content Recognition (ACR) solution and data licensing business, leveraged by agencies, measurement partners, and advertisers to plan, execute, and optimize Linear TV and Connected TV (CTV/OTT) campaigns. Through exclusive partnerships with Hisense TV and VIDAA, a leading TV operating system, we are scaling our ACR technology globally. With CTV ad spend now surpassing 50% of total TV advertising budgets—and growing—advertisers are increasingly drawn to its superior engagement, completion rates, and recall. This market is projected to exceed $40B USD by 2028, making it one of the most dynamic spaces in the industry. As a Senior Data Scientist at Nexxen, you’ll be at the forefront of this evolution. You will lead efforts to deliver highquality viewership data, enabling advertisers to optimize campaigns across both Linear TV and OTT. Beyond just crunching numbers, you’ll design and enhance a smart TV data collection and reporting system that powers some of the most cutting-edge advertising technologies today. This role is an opportunity to influence key architectural decisions, develop scalable solutions, and collaborate with a cross-functional team on a global stage. If you’re passionate about shaping the future of TV advertising, mentoring the next generation of data scientists, and making a direct impact in a fast-growing market, this role offers the platform to do so. Join us and help drive the innovation that is transforming the media landscapeResponsibilities: Lead design efforts to maintain and advance Nexxen’s existing Smart TV ACR data collection, quality assurance and reporting infrastructure.Analyze and propose new methodologies to ensure accurate identification and classification of media content.Develop real-time (near real-time) solutions to monitor various system performance metrics to ensure data qualityCollaborate with Engineering, Product as well as other Data Science teams to understand product requirements and create optimal strategies/scalable architectures which can support future potential enhancements.Ensure high standards of data quality by implementing rigorous testing and validations processes for various data sets.Research and develop new methodologies to continuously improve the quality and usability of the Smart TV viewership data.Interacts with the leadership team to influence product direction.Recruiting and training junior data scientists.Provide constant feedback to employees, conduct performance evaluations, and design employees’ growth plans.Integrate existing Nexxen technology with the technology of newly acquired companies.Write and publish research papers on Nexxen’s behalf.Write patents on Nexxen’s behalf Advise upper management on validity and value of potential data acquisition contracts and partnerships, and ensure that said partnerships are providing data of adequate quality, and alert upper management in cases where such contracts do not merit renewal.  Interacts with external clients as a representative for Data Science team. Help Nexxen’s analysts understand the best ways to utilize the products based on their capabilities and strengths relative to our competitors. Identify new opportunities for advanced analytics and machine learning and conceptualize/develop projects to support their advancement.Required Qualifications: PhD in Mathematics, Engineering, Computer Science or a related field with 5years 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. Familiarity of ACR (Automatic Content Recognition) techniques and their applications in media is a plus. Strong analytical skills with experience in statistical analysis and hypothesis testing Understanding of the TV and media landscape, including viewership trends, audience measurement methodologies and advertising metrics. Familiarity with markets like US, UK, Canada, Australia and Germany is a plus. Ability to conduct independent research and apply innovative solutions to complex data challenges. Excellent verbal and written communication skills to present complex data findings to technical and nontechnical stakeholders. Experience with data visualization for presenting insights to the various stakeholders. Development experience in the following programming languages: Python, Scala, SQLExperience working with Redis, MongoDB, ElasticCache, Spark, MapReduce, VerticaKnowledge of machine learning frameworks like TensorFlow, PyTorch, Scikit-learn, Keras, PandasIn support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role in New York is $160,000 - $185,000 at the time of posting, with the potential of an incentive or bonus. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, discretionary time off, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have.