In this role, you will research and develop new enhancements to Conversant’s award-winning Conversant One-to-One Relationship Engine, with the aim of enhancing data-based capabilities for Conversant’s real-time digital marketing business.
Conversant analyzes anonymized, privacy-safe data at internet scale. We handle 200B+ of online interactions a day and have $3.8 trillion in multichannel purchases in our database. The Decision Sciences group is a collaborative R&D team that continually enhances Conversant’s award-winning personalization platform through a combination of data science, machine learning, AI, computer science, and more.
Our colleagues love the fast-paced, dynamic work environment, the speed with which we translate research to business impact, the opportunity to continually learn new knowledge and skills, the internal research seminars, the external training opportunities, and the excellent work-life balance our culture promotes.
We prioritize talent and potential over having closely similar prior experience. If using internet scale data to drive business impact excites you, we want to talk to you.
- Conduct projects end-to-end from early stage research through development, in consultation with stakeholders.
- Use your expertise in data science and/or computer science to research and recommend solutions to our technology and business problems.
- Provide technology leadership to yield innovative differentiating solutions.
- Develop an understanding of Conversant’s personalization platform and proprietary datasets.
- Implement and optimize state of the art algorithms in distributed environments.
- Work with our Engineering teams to integrate your solutions into Conversant’s platform.
- Participate fully in our collaborative approach to research and applications projects.
- Graduate degree, Ph.D. preferred, in a computational, mathematical, engineering, or scientific field.
- Research experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, probabilistic modeling, or graph algorithms.
- Analytic and modeling skills.
- Verbal and written communication skills, including the ability to summarize technically complex information for a non-technical audience.
ADDITIONAL DESIRABLE BUT NOT REQUIRED SKILLS
- Experience with distributed computing.
- Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large data sets.