Senior Data Scientist, Ad Platform

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.

If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about

We are seeking a highly skilled and motivated Data Scientist to join our Ad Platform team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling to optimize ad delivery, improve targeting, and enhance the overall advertising experience. You will work closely with cross-functional teams, including engineering, product, and sales, to drive data-driven decision-making and innovation within our ad platform. 

• →Analyze large-scale datasets to identify trends, inefficiencies, and opportunities for optimizing ad performance and revenue. 
• →Design A/B experiments to evaluate and improve ad products, bidding strategies, and user engagement. 
• →Provide actionable insights through data visualization, reporting, and dashboards. 
• →Work closely with engineers to build scalable data pipelines and real-time machine learning systems. 
• →Collaborate with product managers to define key performance metrics and guide product roadmaps with data-driven insights. 
• →Utilize advanced statistical techniques and algorithms to measure and enhance ad personalization and recommendation systems.
• →Participate, research and implement machine learning models and data-driven solutions to improve ad targeting, ranking, and delivery. 

• Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, or a related field. 
• 3+ years of experience in data science, analytics, or machine learning, preferably in an advertising or digital marketing environment. 
• Strong programming skills in Python, R, or SQL, with experience in big data technologies such as Spark, Hadoop, or TensorFlow. 
• Expertise in statistical analysis, A/B testing, and causal inference. 
• Experience working with large-scale ad datasets and real-time bidding (RTB) platforms is a plus. 
• Knowledge of ad attribution, auction dynamics, and user behavior modeling. 
• Ability to communicate complex data insights in a clear and concise manner to non-technical stakeholders. 
• Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.