Design and implement cutting-edge data science solutions that address complex business challenges and contribute directly to development and delivery objectives
Job Summary
Design and implement cutting-edge data science solutions that address complex business challenges and contribute directly to development and delivery objectives.
Execute the full data science lifecycle, including data acquisition, preprocessing, feature engineering, model development, deployment, and ongoing evaluation.
We strive for a culture in which we are empowered to excel together every day.
Matching Summary
Design and implement cutting-edge data science solutions that address complex business challenges and contribute directly to development and delivery objectives.
Skills & Requirements
Must-have
Python programming skills
Google Cloud Platform expertise
Machine learning algorithms
Data acquisition and preprocessing
Model deployment and optimization
Nice-to-have
Financial services industry experience
Data visualization platforms
MLOps frameworks and best practices
AWS or Azure experience
Key Requirements
Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field
3+ years of experience in data science
5+ years of experience designing, building, and delivering data science use cases