Cadent is looking for a Senior Director of Data Science to shape their data science strategy, manage a team, deliver ML products, and translate data into actionable business strategies. The role aims to apply scientific methods to optimize business strategies and develop prototypes and production-grade builds.
Requirements
- 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
- Ability to write clean, expressive code in Python, use of open source frameworks such as TensorFlow, PyTorch, scikit learn) and or other tools including PySpark, Scala etc.
- Experience with SQL and reading from relational databases, experienced using cloud computing ecosystems (e.g., AWS, GCP)
- 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
- Experienced in deploying models in production and enable model governance
- Fundamental understanding of the mathematical workings of standard feature engineering, dimension reduction, machine learning algorithms and model validation & measurement
- Familiarity with best practices for software engineering and the use of the scientific Python ecosystem
Responsibilities
- Hands-on design, train and apply statistics, mathematical models, & machine learning techniques to create scalable ML solutions such as identity to solve business problems and build ML data products to enable speed to market and rapid experimentation
- Strive to innovate leveraging latest algos, tools, data and systems while staying abreast of industry trends and best practices in data science
- Work with machine learning engineers, data engineers, DevOps and software developers to deploy models and modeling pipelines to be leveraged by business
- Leverage model governance techniques and frameworks to ensure performance and stability of data science products
- Follow the CRISP-DM process to generate robust documentation associated with iterative work
- Encouraging team to participate in researching new data, tools, algorithms and tech stack to align with evolving AI & ML industry
- Lead, mentor, guide and manage data science team & junior data scientists providing guidance on technical and professional growth and develop a team of data scientists
Other
- M.S. or higher in computer science, mathematics, operations research, statistics or related discipline with a focus on machine learning; or the equivalent of 10 -12 years’ experience in a Data Science and Machine learning role
- 5 – 6 years of managerial experience leading medium (7-10) Data Science teams and spear heading data science projects coordinating with business & product
- Proven background answering open ended research questions using data, tools and technology
- Strong analytical and quantitative problem-solving ability
- Experienced effectively communicating technical concepts and insights to non-technical stakeholders, influencing decision-making across the organization.
