Associate Data Science Jobs

Data Science | Hybrid in Philadelphia, PA | Full Time

JOB DESCRIPTION

Cadent powers the evolution of TV brand advertising. We provide marketers, agencies, operators, and media owners with data-driven solutions for buying and selling TV advertising. By connecting brands with opportunities across national inventory sources—cable, broadcast, and digital media—our technology improves efficiencies and boosts the results of linear, addressable, and cross-screen campaigns.

Right now we are looking for a highly motivated Associate Data Scientist who will be responsible for applying scientific methods to identify business optimization strategies and develop, evaluate and demonstrate prototypes of 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 and Development team members to productize research as reporting and business 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 player will:

• Follow the CRISP-DM process to generate robust documentation associated with iterative work
• 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
• Monitor, maintain, and refine predictive models as necessary, including re-training
• Present results to technical and business stakeholders.
• Participate in the agile / scrum process
• Work with product team to align software goals with KPI’s via empirical measure of effectiveness
• Work with Software development team to deploy models as micro-services leveraged inside of business software products
• Design, train and apply statistics, mathematical models, and machine learning techniques to create scalable solutions for predictive learning, forecasting and optimization

Our ideal player will have:

• Experience in cloud computing ecosystems (preferably in AWS)
• Strong analytical and quantitative problem-solving ability.
• Preferably a background in software development
• Proven background answering open ended research questions using data
• M.S. or higher in computer science, mathematics, or related discipline with a focus on machine learning or the equivalent of 1-2 years experience in a similar role.
• Practical experience in deep learning architectures and frameworks is a plus
• Experience with SQL, accessing and organizing data drawn from relational databases
• Fundamental understanding of the mathematical workings of standard feature engineering and machine learning algorithms.
• Demonstrated communication skills including the ability switch between technical and business contexts.
• Experience with computational statistics and understanding of theoretical fundamentals of statistics
• Practical experience building evaluating and deploying machine learning pipelines as with python, preferably with the scikit- learn ecosystem