PhD, Senior Research Data Scientist (Remote) at Epsilon #vacancy #remote

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

conducting interviews Cloud databases Verbal communication statistics Scala Establishing interpersonal relationships Artificial intelligence (AI) Analytical skills Data Science Python Apache Spark Creativity Computer Science modeling SQL Written communication skills Machine Learning distributed-programming graph-theory Hadoop algorithms Organizational skills

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