Staff Data Scientist

🕒 Maio 12

🗽 New York – Remoto

🗽 New York – Remote

💵 $195.500 - $218.500 / ano

⏰ Tempo Integral

🔴 Especialista

📊 Cientista de Dados

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OpenX

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2008

💰 Secondary Market em 2015-05

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OpenX é uma plataforma independente do lado da oferta, especializada em tecnologia de publicidade, permitindo que editores e anunciantes alcancem melhores experiências de compra e venda de anúncios com foco em direcionamento, transparência e sustentabilidade. Estabelecida em 2008, a OpenX oferece capacidades de segmentação omnichannel em todos os canais, incluindo TV Conectada (CTV), e se integra perfeitamente a diversos conjuntos de dados e tipos de identidade. Como a primeira empresa adtech certificada como Net-Zero, a OpenX enfatiza práticas de mídia responsáveis, ajudando clientes a reduzir seu impacto ambiental enquanto apoiam iniciativas sociais. Eles oferecem uma plataforma que democratiza o acesso à identidade para os profissionais de marketing, permitindo uma segmentação de público contínua semelhante aos jardins murados. A OpenX se estabeleceu como líder em publicidade programática, trabalhando com clientes de alto perfil para integrar sua tecnologia de maneira eficiente e sem esforço.

Descrição

• Architect robust, scalable, and maintainable ML systems for broad use across the exchange, spanning training pipelines, real-time inference, validation, and monitoring • Serve as a go-to expert in deep learning and related advanced data science domains, with the breadth to guide method selection across adjacent areas • Lead the evaluation and adoption of new AI/ML modeling techniques, frameworks, and research advancements relevant to OpenX’s marketplace problems • Define and evolve technical standards and best practices within their domain, influencing broader adoption across the organization • Identify and lead high-impact, cross-team data science initiatives, such as improving bidding strategies, building new prediction systems, or redesigning experimentation frameworks • In partnership with engineering and product leadership, drive the data science roadmap for a product area or platform capability • Partner with product managers and commercial stakeholders to translate marketplace problems into data science solutions with measurable business outcomes • Solve novel, ambiguous problems requiring innovation in methodology, algorithms, or feature engineering • Mentor and develop senior data scientists, helping them grow toward broader technical leadership • Raise the skills, impact, and scientific rigor of teams around them through guidance, architectural patterns, and strategic direction • Communicate technical strategy and build consensus for complex decisions across senior leadership and cross-functional teams

🎯 Requisitos

• Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years of relevant experience and a demonstrated track record of leading cross-team technical strategy and delivering organization-level impact • Deep expertise in deep learning and broad fluency across the modern ML toolkit, with strong familiarity with optimization methods; additional experience in areas such as causal inference or experimentation design is a plus • Proven ability to architect and deliver complex, production-grade ML systems that operate at scale • Strong track record of nurturing DS/ML projects to maturity with significant business impact, including supporting and improving those systems beyond initial deployment • Mastery of probability and statistics, especially techniques that scale to massive datasets • Strong Python and SQL skills; experience with ML frameworks such as TensorFlow or PyTorch • Strong communication and presentation skills, including proficiency in conveying complex technical concepts to both technical and non-technical audiences • Track record of cross-team technical leadership and mentorship of senior data scientists and technical partners