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