Director, Engineering

Director, Data Science Engineering About the team:AppNexus is looking for an intellectually curious, results-oriented, and energetic Director of Data Science Engineering who is eager to take on the opportunity of having an immediate impact on our products related to predictive analytics, data science and machine learning. Every day we grapple with fascinating software architecture questions on a global platform that operates at massive scale. We pair program, we have impromptu design discussions, and we ask and answer questions of each other constantly. Line by line, we’re writing the best software in the advertising technology industry. In this role, reporting directly to our Chief Platform Architect, you will work very closely with our executives, and lead a small team of Senior Engineers with an array of backgrounds, collaborating to research and design novel algorithmic products. About the job:Apply deep, creative, rigorous thinking to solve broad, platform-wide technical and/or business problemsProvide guidance and develop senior members of the Data Science Engineering Team; Educate, mentor and collaborate, both to build out specific projects and to continuously learn and teach new technology and techniquesGuide team in researching, designing, simulating, and/or prototyping new product features per business needsWork with Product Management and a cross-functional team using agile methodologies to ensure optimal team performance and deliveryCommunicate findings and solutions clearly to a variety of audiences, by drafting clear, comprehensive specs for engineers or explaining algorithmic concepts to product managersOwn and drive software development life cycle for multiple products in a fast-paced environmentAbility to evaluate, recommend and deploy new tools or systems whether they be built in house, open source, or commercial offeringsSpend 20% of time codingEngage in hiring and recruiting by working very closely with our internal Talent Acquisition Group About your skills: BA/BS/MS degree and 5+ years of experience (Degree in Computer Science or related field preferred)5+ years of analytical solution experience with strong system and mathematical skillsPassion for building systems and solutions that manifests itself as delivering successful projectsAbility to dive deep when needed and strategize across tools, platforms, and create solutions across a diverse stackExcellence at formulating, understanding, and solving complex, non-routine problemsExperience working with Big Data, Machine learning, distributed systems using technologies such as Hadoop, Spark, Python, Java and ScalaAptitude for diving into learning new theory and new technology, and for standing up or improving organizational processes to enhance communication and productivity within and across teamsProvide daily guidance to Optimization Engineering team members in a complex, high-performance platform by working through creative solutions, identifying issues and roadblocks, and reviewing system architecture decisionsHiring Manager: Ron Lissack Recruiter: Nick Braun

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