Job
Description
What Youll Contribute Plan, design, implement, and test Python APIs, algorithms, and examples for use by data scientists to address all portions of the predictive modeling lifecycle. Work side-by-side with data scientists, QA engineers and UX designers to create robust, efficient, and flexible pipelines to transform data, train machine learning models, and test and monitor operationalized models. Find, augment and design data sets to exercise, quality test, stress test and demonstrate novel data science algorithms. Engage with internal users, clients, and pre-sales engineers to design and create useful solutions, proofs of value, demonstrations, and educational materials. What Were Seeking Bachelors Degree or higher in computer science, engineering, physics, statistics, mathematics, operations research, or natural science fields. 7 to 10+ years hands-on related experience in predictive modeling and data science using Python. Experience designing and developing reusable Python API packages to be consumed by other teams working on data science projects. Experience using Rest and GRPC API . Experience in software development methodologies including software architecture, design, problem solving, performance tuning, test-driven development, and debugging skills. Experience with ML Operations and python ML packages. Experience with java, Kafka, Spring boot, Kubernetes and helm is a plus. Our Offer to You An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
