Senior Data Scientist

Nexxen•San Diego, CA

2d•$160,000 - $210,000•Hybrid

About The Position

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. You'll develop and deploy groundbreaking data solutions, collaborating with talented engineers and product experts to transform complex problems into elegant solutions. With proven experience in data science, machine learning, statistical modeling, and/or deep learning, you will bring a passion for problem-solving, turning data into actionable insights, and collaboration with supporting teams. Strong programming skills in Python, SQL, Spark, and other data science tools are essential. This role will be based in our local office Locations. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest.

Requirements

Education in Computer Science / Engineering or a related technical field with 7+ years of overall experience
5+ years of work experience in building production-level data science-based solutions
Extensive Mar-tech/Ad-tech knowledge (Ad-tech SSP preferred)
Experience in Neural Networks, Deep Learning, TensorFlow, and/or PyTorch
Experience with Spark and SQL
Significant experience with Python and machine learning packages (e.g., sklearn, keras)
Experience in implementing machine learning pipelines
Creative problem-solving and analytical skills with experience in statistical analysis and hypothesis testing.
Excellent verbal and written communication skills to present complex data findings to technical and non-technical stakeholders

Nice To Haves

MS/PhD in Computer Science / Engineering or a related technical field
Experience with latency-sensitive scalable machine learning models
Supply Side Platform (SSP) Ad Tech experience

Responsibilities

Design and implement scalable data science-based solutions, data processing, and machine learning pipelines
Optimize models and develop new and scalable methodologies to improve data quality
Collaborate with other Engineering and Product teams to understand product requirements and create optimal/scalable solutions
Communicate technical concepts and findings to both technical/non-technical team members
Write scalable and clean code