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 $3.8 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.