DescriptionPosition at Everyday Health - DivisionThe OpportunityEveryday Health Pro is looking for a Senior Data Science Engineer to develop and support data-driven applications that empower business growth. In this role, you'll leverage machine learning and analytics to turn complex data into actionable insights. You'll work with cross-functional teams to drive innovation and meet strategic goals.Key ResponsibilitiesDesign and implement scalable machine learning models and algorithms for master user profiles, content recommendation engines, and campaign optimization frameworksArchitect robust data pipelines for collection, cleaning, and transformation to ensure high-quality datasets that power critical business decisionsPartner with product managers, engineers, and stakeholders to integrate sophisticated data solutions into our core productsStay current with industry trends and implement cutting-edge practices to enhance our applicationsLead by example through mentoring junior team members, conducting knowledge-sharing sessions, and fostering a collaborative learning environmentEstablish comprehensive model performance monitoring systems with automated testing and validation protocolsChampion engineering excellence through high code quality, thorough documentation practices, and effective knowledge transferJob QualificationsExperience: 5-7 years building and deploying production-grade machine learning solutions with demonstrable business impactProgramming Expertise: Advanced proficiency in Python, PySpark, and SQL with experience utilizing Databricks Data Lake, SQL Server, or MySQL in enterprise environmentsMachine Learning: Portfolio of successful implementations using machine learning with particular emphasis on recommendation systems and user behavior modelingData Storytelling: Ability to translate analytical findings into business insights and recommendationsCloud and System: Demonstrated expertise in Databricks, AWS ecosystems, and Linux environment to develop scalable data solutionsLeadership: Strong interpersonal and communication skills with proven success in cross-functional collaboration and technical mentorshipEducation: Bachelor's or advanced degree in Computer Science, Information Technology, or a related quantitative fieldAbout Everyday Health GroupEveryday Health Group (EHG) is a recognized leader in patient and provider education and services attracting an engaged audience of over 74 million health consumers and over 890,000 U.S. practicing physicians and clinicians. Our mission is to drive better clinical and health outcomes through decision-making informed by highly relevant information, data, and analytics. We empower healthcare providers, consumers and payers with trusted content and services delivered through Everyday Health Group's world-class brands.Our Culture and ValuesWe created our values together to guide our collective purpose and pursuits. We are collaborators and problem solvers. We empower one another to make informed decisions and to be enabled towards action. We embrace success. We recognize that innovation can spark and be born from any of us no matter our individual role or background. We encourage open mindedness and sensitivity to each other and our environment. Our personal and professional passions get ignited, nurtured and supported. We value that doing is greater than talking as the most measurable means of impact. Our collective purpose to deliver enlightened audience experiences with trusted brands is what drives the success of our business and our professional satisfaction.Life at Everyday HealthAt Everyday Health Group, a division of Ziff Davis, we work in a culture of collaboration and welcome those who desire to join our growing global community. We believe in careers versus jobs and people versus employees. We seek enthusiastic individuals with an entrepreneurial spirit looking for an environment that rewards your best work.Everyday Health Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive and equitable environment for all employees.
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