Horizon Media is looking to solve the problem of building qualified audiences for client campaigns using advanced statistics and data science techniques.
Requirements
- Expert knowledge in an analytic and programming language such as Python, R, or a similar language
- Working knowledge of Big and basic data mining routines
- Working knowledge of Predictive and Machine Learning
- Familiarity with relational databases
- Solid understanding of data technology integrations across data sources and ecosystems
- Knowledge of the data dictionaries and taxonomies of structured data sets
- Cluster & Factor analysis
Responsibilities
- Ability to understand and leverage blu. structured and unstructured data
- Ability to build end-to-end data science solutions for a non-data science audience
- Data transformation/mining and generation of insights to explain audience performance and inform optimization
- Machine Learning, Data Mining with Machine Learning with large datasets of Structured and Unstructured data
- NLP for sentiment analysis
- Mathematical and Statistical libraries in Python and/or R
- Experience in importing/exporting data for relational databases
Other
- BS/BA degree in Computer Science, Statistics, Applied Mathematics, or a related field required
- 0-2 years relevant experience, preferably in a media, marketing or digital advertising environment
- Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision
- A team player who can work collaboratively within the group and across business units/functions
- Strong verbal communication skills, extremely well-organized
