Senior Data Scientist

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November 24

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PCMag

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Media • Technology

PCMag is a leading authority on technology, delivering lab-based, independent reviews of the latest products and services. It provides expert industry analysis and practical solutions to help consumers and businesses make better buying decisions and to get more from technology. PCMag covers a wide range of technology-related topics including reviews of electronics, software, services, and other tech products. It also offers advice and tips on a variety of tech and consumer-related issues.

11 - 50 employees

Founded 1982

📱 Media

📋 Description

• run point solving complex business problems through the development of advanced software solutions driven by machine learning, statistical modeling, and optimization techniques • 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 • drive significant performance and revenue for the CNET brand • work closely with business stakeholders to identify new strategic opportunities and leverage data to drive impactful outcomes • collaborate closely with other teams within CNET Tech and Data to understand complex data structures, sources, and systems • design and implement advanced data science solutions to solve a variety of business problems • grow solid understanding of AdTech and MarTech stacks and the role of data • pitch and present to senior leaders and stakeholders to drive adoption and understanding of offerings and capabilities • participate in the broader data science community within Ziff Davis on the design and execution of complex data science projects

🎯 Requirements

• 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 leadership • Extensive experience participating in scoping data science projects, owning their own execution, and leading small project teams • Experience developing skills specific to a specialization or expertise through research skills like literature reviews and communication of findings, demonstrating thought leadership

🏖️ Benefits

• comprehensive medical, dental, and vision coverage • life and disability benefits • Flexible Spending Accounts (FSAs) • 401(k) with company match • Employee Stock Purchase Plan • work-life balance with Flexible Time Off • Volunteer Time Off • paid holidays • family building and caregiving support • generous Family Care and Parental leave • Fitness Reimbursement • access to wellness programs • creating an environment where everyone feels valued, respected, and empowered to succeed • Employee Resource Groups • company-sponsored events • regular opportunities for professional growth through educational support, mentorship programs, and career development resources • employee engagement programs and recognition awards