Applecart is looking to solve the problem of reaching and influencing C-suite leaders and other critical decision-makers who are historically difficult to target with traditional marketing methods. The company's platform aims to provide clients with tools to deliver content effectively to these key individuals through the social relationships they value.
Requirements
- Deep understanding of machine learning, statistics, and data science.
- 7+ years of experience in data science and/or modeling.
- 7+ years in digital advertising.
- Proficiency in Python (or R) and SQL.
- Proven experience in building reach metrics in digital advertising.
- Familiarity with survey research for audience measurement.
- Strong experience in Spark is preferred.
Responsibilities
- Develop and implement audience measurement metrics using machine learning algorithms, survey data, publicly available data, and experiments.
- Design, develop, and deploy advanced statistical models to enhance advertising campaign measurement, planning, and targeting accuracy.
- Lead the design and implementation of survey based approaches to build audience measurement metrics.
- Ensure data integrity and accuracy through rigorous model testing and validation.
- Collaborate with engineering teams to integrate models into production systems for scalability and reliability.
Other
- Communicate analytical concepts and results clearly to stakeholders.
- Team-oriented, pragmatic, and able to build rapport.
- Strong communication, writing, and critical thinking skills.
- Experience in mentoring in data science, analytics, and predictive modeling.
- This is a hybrid role. Work from home on Monday and Friday and in Applecart’s New York City office Tuesday through Thursday.
