Chief Data Scientist

------------------------------------------------------------------------ Roles &

: · Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture · Design or enhance ML workflows for data ingestion, model design, model inference, and scoring · Oversight on team project execution and delivery · Establish peer review guidelines for high-quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies. · Visualize and publish model performance results and insights to internal and external audiences. · You will collaborate with executive-level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning. · You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues.

: · Master’s in a relevant quantitative, applied field (Statistics, Computer Science, IT, Engineering) · 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure · You have experience in leading the analysis and modeling of different datasets and overseeing the development, deployment, and productionization of the models. · You have experience with statistical modeling, machine learning, deep learning, optimization, and other data science techniques to implement end-to-end data science projects. · Experience on the Databricks platform is highly preferred. · You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. · Proficiency in Python and SQL required; PySpark experience a plus · Working knowledge of MLOps