Cadent is looking for an Associate Data Scientist to apply scientific methods to identify business optimization strategies and develop, evaluate, and demonstrate prototypes of empirical software, including machine learning, signal processing, and optimization-based numerical methods. This role is critical for leveraging AI/ML research to drive business growth and define the future of Cadent.
Requirements
- 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
- 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
Responsibilities
- 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
- Follow the CRISP-DM process to generate robust documentation associated with iterative work
- Participate in researching new data, tools, algorithms and tech stack to align with evolving AI & ML industry
Other
- 0-1 years professional experience in a similar role.
- Proven background answering open ended research questions using data, tools and technology
- 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
- Media or ad-tech experience a plus
