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PhD, Senior Research Data Scientist

1 month ago


Maywood, United States Epsilon Full time

In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business. We prioritize analytical thinking, creativity and computer science skills over ad tech industry experience. If using internet-scale data to drive business impact excites you, and you enjoy the kind of research that starts with a blank sheet of paper that turns ideas into a new technological reality, we want to talk to you. Responsibilities

Lead and individually contribute to data science and machine learning R&D projects Use your expertise in data science, machine learning, and computer science to lead research projects and recommend solutions to technology and business problems Interview candidates for open positions on our team Lead and contribute to projects from early-stage research through development, in consultation with stakeholders Provide technology leadership to yield innovative differentiating solutions Implement and optimize state-of-the-art algorithms in distributed environments Work with our Engineering teams to integrate your solutions into Epsilon PeopleCloud Digital Media Solutions platform Develop an understanding of Epsilon PeopleCloud Digital Media Solutions personalization platform and proprietary datasets Participate fully in our collaborative approach to research and applications projects Qualifications

Ph.D. in a computational, mathematical, engineering, or scientific field Fluency in computer programming, data structures, and algorithm design Proven analytic and modeling skills; proficient at implementing, and evaluating accurate and scalable solutions to business problems Proven ability to lead development projects from conception through deployment Proven ability to lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team project requirements from diverse stakeholders and set expectations for deliverables Verbal and written communication skills, including the ability to summarize technically complex information for a non-technical audience Organizational, motivational, and interpersonal skills Additional, But Not Required Skills

Spark libraries Scala programming Python programming SQL queries Experience with distributed computing Experience with Hadoop and cloud databases

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