CADENT Data Scientist in Philadelphia, Pennsylvania
In the advertising world, the one with the best platform to target customers, and analytics to understand them, wins. With a full national footprint comprised of more than 200 partners, 210 DMAs and 80 million homes, /CADENT/ has positioned itself to be the essential partner to brands navigating the ever changing TV advertising landscape. Through our forward looking solutions, we are defining the present and future (programmatic, addressable, advanced TV) of broadcast/cable audience technology, data, analytics and automation.
Right now we are looking for an exceptional Data Scientist to join our team. This role will be responsible for applying scientific methods to identify business optimization strategies, developing, evaluating and maintaining empirical software including but not limited to machine learning, signal processing and optimization based numerical methods. Data Scientists collaborate directly with the Business Intelligence, Data Engineering, Software Development, Client Services and Product team members to deploy and maintain mathematical software. This is a critical mathematical engineering role whose work is leveraged by other engineers and by senior executives to define the future of Cadent.
Our ideal A-player will:
• Design, train and test predictive models and their evaluation methods • Work with Software development team to deploy models as micro-services leveraged inside of business software products • Monitor, maintain, and refine predictive models as necessary, including re-training
• Identify and implement new features for the predictive models to satisfy new requirements. • Work with product team to align software goals with KPI’s via empirical measure of effectiveness • Participate in the agile / scrum process • Follow the CRISP-DM process to generate robust documentation associated with iterative work • Present results to technical and business stakeholders. • Collaborate effectively with other members of the engineering research team and broader data services group including but not limited to Data Engineers, Analytics Engineers, Performance Engineers, Software Engineers and Business Intelligence analysts
Our ideal A-Player will have:
• B.S. or higher in computer science with a focus on machine learning or the equivalent of 2 years experience in machine learning • Practical or academic experience building and evaluating machine learning pipelines as with python, preferably with the scikit-learn ecosystem • Experience with SQL, accessing and organizing data drawn from relational databases • Proven background answering open ended research questions using data • Familiarity with statistical computing • Strong analytical and quantitative problem solving ability. • Fundamental understanding of the mathematical workings of standard feature engineering and machine learning algorithms. • Preferably a background in software development