Data Scientist, Ad Platform

About NewsBreak

NewsBreak is redefining the way users interact with local news and their communities. By bridging local users, local content creators, and local businesses, our mission is to foster safer, more vibrant, and authentically connected lives. Through robust collaborations with thousands of local publishers and businesses across the nation, NewsBreak is revolutionizing how a new wave of readers access and engage with essential, locally sourced content & information.

Since our inception in 2015, our trajectory has been nothing short of remarkable. We proudly stand as the nation’s premier local news app.

As a Series-C unicorn startup, our headquarter nestles in the tech hub of Mountain View, California, with other offices in New York City and Seattle. For more information, visit www.newsbreak.com/about

About the role

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. 

Responsibilities

• 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. 

Requirements

• 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. 

Why join us?

• Be part of a fast-growing team that drives innovation in digital advertising. 
• Work on cutting-edge machine learning and optimization problems at scale. 
• Competitive compensation, benefits, and opportunities for professional growth.
• Collaborate with talented professionals in a fast-growing and impactful industry. 

Benefits

We offer a competitive benefits package:

• Health, dental, and vision care for you and your family (100% coverage for employee)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• FSA, HSA and commuter benefits programs
• Team activity budget

The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.Annual Base Pay Range$135,000—$205,000 USD

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