Lead Data Scientist

Overview Cadent ignites seamless connections between brands, publishers & consumers. Our predictive AI orchestrates outcomes on any platform customers are on, across any media they consume & at any stage of the journey. To learn more, please visit Cadent. com.

Right now we are looking for a highly motivated and experienced Lead Data Scientist within the Data Services Organization who will be responsible for shaping our data science strategy, managing a team of data scientists, delivering ML products and collaborating with cross-functional teams to translate data into actionable business strategies.

The Sr. Director will apply scientific methods to identify business optimization strategies and develop, evaluate, and demonstrate prototypes and production grade builds.

Data Scientists collaborate directly with the Business, Product, Data Engineering, DevOps and QA team members to productize AI/ML research to drive business growth.

This is a critical role that needs knowledge of mathematics and engineering, output from this role will be leveraged by business, engineers and by senior executives to define the future of Cadent.

Responsibilities

M. S.

or higher in computer science, mathematics, operations research, statistics or related discipline with a focus on machine learning; or the equivalent of 6-7 years’ experience in a Data Science and Machine learning role 6+ years of data science and machine learning developer hands on keyboard experience Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), and evaluation benchmarks Proven background answering open ended research questions using data, tools and technology Ability to write clean, expressive code in Python, use of open source frameworks such as TensorFlow, PyTorch, scikit learn) and or other tools including