Job Description
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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