Solve business and customer issues utilizing AI/ML; design and build analytics solutions that deliver transformative insights from extremely large data sets; design, develop and implement web applications for self-service delivery of analytics; build prototypes and scalable AI/ML solutions that will be integrated into software products
Design and develop APIs, database objects, machine learning algorithms and necessary server-side code to support applications
Have complete ownership of model outcomes and drive continuous improvement
Conduct brainstorming sessions with stakeholders and technical teams to understand needs and propose solutions
Collaborate with the analytics team for the development of reports and dashboards
Essential Requirements
8+ years’ experience in a related role or equivalent skill; must include deep knowledge of data science principles
Strong coding skills in Python and SQL; machine Learning knowledge e.g. Deep learning, NLP, Classification, Forecasting, Regression, GenAI ; experienced in ML model deployment
Ability to work with internal stakeholders to transfer business questions into quantitative problem statements
Expertise in DevOps practices and tools, including Jenkins, Kubernetes, Docker, Kafka, and GitHub Actions for continuous integration and deployment
Ability to effectively communicate data science progress to non-technical internal stakeholders
Desirable Requirements
Undergraduate or Graduate degree in quantitative field e.g. Computer Science, Statistics, Electrical Engineering