Cadent specializes in marketing and advertising technology, and they are seeking a highly motivated Data Scientist. In this role, you will apply scientific methods to identify business optimization strategies and collaborate with various teams to productize AI/ML research, driving business growth.
Design, train and apply statistics, mathematical models, and machine learning techniques to create scalable solutions to business problems
Work with machine learning engineers and software developers to deploy models and modeling pipelines to be leveraged inside of business software products
Contribute iterative improvements to predictive models
Leverage model governance techniques and frameworks to ensure performance and stability of data science products
Work with product team to align on product roadmap and goals with business vertical KPIs
Participate in the Agile / scrum process
Follow the CRISP-DM process to generate robust documentation associated with iterative work
Present results and findings to technical audience, product and business stakeholders
Collaborate effectively with other members of the data science team, engineering research team and broader data services group including but not limited to Machine Learning Engineers, Data Engineers, Analytics Engineers, Software Engineers, Quality Assurance Engineers, and Business Intelligence analysts
Participate in researching new data, tools, algorithms and tech stack to align with evolving AI & ML industry
Qualification
Required
M.S. in Computer Science, Mathematics, Statistics, a related quantitative field, or equivalent practical experience with a focus on machine learning; or the equivalent of B.S with 2-3 years of experience in a similar role
1+ years professional experience in a similar role
Proven background answering open ended research questions using data, tools and technology
Ability to write clean, expressive code in Python and/or other tools including PySpark, Scala etc.
Practical experience building and evaluating machine learning models, preferably with the scikit-learn ecosystem
Experience with SQL and reading from relational databases
Experience with the practical application of computational statistics
Fundamental understanding of the mathematical workings of standard feature engineering, dimension reduction, machine learning algorithms and model validation & measurement
Experience with the practical application of computational statistics and complex ML algos including deep learning, GraphDB SVMs, time series forecasting etc. to build and evaluate models
Demonstrated communication skills including the ability to switch between technical and business contexts
Familiarity with best practices for software engineering and the use of the scientific Python ecosystem
Knowledge of LLM technologies, including generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), and evaluation benchmarks
Preferred
Experience using cloud computing ecosystems (e.g., AWS, GCP)
Media or ad-tech experience
Benefit
Cadent specializes in marketing, TV advertising, cable, broadcast, dynamic Ad insertion, programmatic and TV services.
