3 Ziff Davis Jobs

Description

• Design and implement scalable machine learning models and algorithms for master user profiles, content recommendation engines, and campaign optimization frameworks
• Architect robust data pipelines for collection, cleaning, and transformation to ensure high-quality datasets that power critical business decisions
• Partner with product managers, engineers, and stakeholders to integrate sophisticated data solutions into our core products
• Stay current with industry trends and implement cutting-edge practices to enhance our applications
• Lead by example through mentoring junior team members, conducting knowledge-sharing sessions, and fostering a collaborative learning environment
• Establish comprehensive model performance monitoring systems with automated testing and validation protocols
• Champion engineering excellence through high code quality, thorough documentation practices, and effective knowledge transfer

• Experience: 5-7 years building and deploying production-grade machine learning solutions with demonstrable business impact
• Programming Expertise: Advanced proficiency in Python, PySpark, and SQL with experience utilizing Databricks Data Lake, SQL Server, or MySQL in enterprise environments
• Machine Learning: Portfolio of successful implementations using machine learning with particular emphasis on recommendation systems and user behavior modeling
• Data Storytelling: Ability to translate analytical findings into business insights and recommendations
• Cloud and System: Demonstrated expertise in Databricks, AWS ecosystems, and Linux environment to develop scalable data solutions
• Leadership: Strong interpersonal and communication skills with proven success in cross-functional collaboration and technical mentorship
• Education: Bachelors or advanced degree in Computer Science, Information Technology, or a related quantitative field