Sr. Data Scientist

The Opportunity

We are looking for a Senior Data Scientist to join the data team supporting the premiere tech media brand group,
CNET Group
, a division of Ziff Davis. In this role, you will run point solving complex business problems through the development of advanced software solutions driven by machine learning, statistical modeling, and optimization techniques, leveraging the latest advancements in AI. You will have the opportunity to collaborate closely with a cross-functional group of business analysts, engineers, and data professionals to leverage complex signals from a variety of sources, design or improve cutting‑edge data science solutions, and drive significant performance and revenue for the CNET brand.

Our core problems to solve include advanced content and product recommendation, sophisticated email marketing optimization, and strategic ad sales optimization through audience segmentation and forecasting.

• Work closely with business stakeholders to identify new strategic opportunities and leverage our data to drive impactful outcomes for CNET Group’s portfolio of tech media brands, acting as a strategic thought partner.
• Collaborate closely with other teams within CNET Tech and Data to understand complex data structures, sources, and systems, influence work approaches, and solve operational/organizational challenges.
• Design and implement advanced data science solutions to solve a variety of business problems, including content and product recommendation, email marketing optimization and website traffic audience segmentation and forecasting, each incorporating the latest AI techniques.
• Grow solid understanding of our unique AdTech and Mar Tech stacks and the role of data with each of them, contributing to their strategic development.
• Pitch and present to senior leaders and stakeholders (technical and non‑technical) to drive adoption and understanding of offerings and capabilities, influencing key decisions.
• Participate in the broader data science community within Ziff Davis on the design and execution of complex data science projects, especially when relevant to expertise.
• Help create and promote an inclusive environment where team members feel comfortable and empowered.
• Clearly articulate the “why” behind proposed data science solutions to non‑technical senior stakeholders and influence strategic direction.
• Vet and evaluate tradeoffs for using 3P solutions versus developing in-house; manage a strategically selected portfolio of homegrown and 3P data science infrastructure.
• Own and methodically understand complex business context, define compelling value propositions, and formulate and solve intricate data science problems with minimal guidance from technical leaders.

• 5+ years of professional experience in a data science role, ideally with an MS in STEM with a focus in computer science, ML, statistical modeling, or optimization.
• Bias to action, with a strong sense of execution. Proactive and influential communicator.
• Extensive experience with end-to-end model development, deployment, and monitoring workflows, including MLOps best practices.
• Demonstrated ability to leverage the latest advancements in Artificial Intelligence (AI) and LLMs to solve business problems and drive innovation.
• Proficiency in Python and SQL and extensive experience working in Databricks, with a strong understanding of scalable data processing.
• Extensive experience with marketing or media specific data science challenges, such as customer segmentation, product recommendation, lifetime value modeling, and forecasting, with a focus on innovative solutions.
• Strong foundation in statistical principles and the application of advanced methods for experimental design and analysis, including A/B testing, hypothesis testing, and regression analysis.
• Experience building personalized and/or real-time recommender systems.
• Ability to own key deliverables, drive complex projects to completion on time, and strategically iterate when justified by potential, incremental value.
• Ability to communicate project status, timelines, and complex technical results to broad audiences, including executive…