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Data Scientist

Epsilon
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Conversant is a leader in personalized digital marketing. We are transforming digital marketing by empowering leading brands to engage in one-to-one conversations with real people with our roster of 4,000 clients including 400+ blue chip brands and 65 of the Internet Retailer Top 100. We can help virtually any brand leverage the power of personalization to improve marketing results.


For almost 20 years, Conversant has been transforming the way that brands reach and talk to consumers to drive meaningful relationships at incredible scale. Our proprietary tools and systems handle millions of bid requests and transactions that drive billions of dollars in incremental revenue. We store data in petabytes, and we make bid decisions in milliseconds. Our personalized ads bring them 5.1 million purchases every day, and an average of 10x incremental return on ad spend.


OVERVIEW

As a member of our R&D organization, your work will directly and rapidly impact our award winning Conversant One-to-One Relationship Engine. Conversant analyzes anonymized, privacy-safe data at internet scale: we handle trillions of online interactions a month in real-time and have $1.9 trillion in multichannel purchases in our database. In this role, you’ll be part of the small, highly collaborative team that continually enhances Conversant’s personalization platform through a combination of data science, machine learning, graph algorithms, and more. And you’ll be working on a state-of-the-art technology stack including Spark, Hive, Scala, and Python on large Hadoop clusters.

 

RESPONSIBILITIES

  • Develop an understanding of Conversant’s personalization platform and proprietary datasets
  • Use your data science and machine learning expertise to research and recommend the best approaches to solving our technology and business problems
  • Design, implement, and validate your solutions in Spark, Hive, Scala, or Python on large Hadoop clusters
  • Work with our Engineering teams to integrate your solutions into Conversant’s platform
  • Participate fully in our collaborative approach to research and applications projects


REQUIREMENTS

  • A Ph.D. in a computational, mathematical, engineering, or scientific field
  • Research experience or coursework in a computational area such as data science, data analysis, machine learning, artificial intelligence, statistics, predictive modeling, or graph algorithms
  • Fluency in programming
  • Ability and desire to work in a highly collaborative environment


ADDITIONAL USEFUL BUT NOT REQUIRED SKILLS

  • Experience in Spark, Hive, Scala, Python, or SQL
  • Experience in distributed computing
  • Experience with large data sets