Data Scientist

The Data Scientist will engineer interfaces for client' s data science applications and backend data solutions that support large scale predictive modeling.  The client' s product is Agriculture Technology working with the Internet of Things (IoT) dedicated to harnessing nature to help farmers sustainably feed the planet.  This person is responsible for maximizing code reusability while also considering API design, model deployment considerations, and the testability of the APIs.  This person will also be a critical member of a highly efficient and cohesive engineering team that is focused on the customer' s needs and requirements. Responsibilities: Design and implement ML train/test/validate/deploy infrastructure Design APIs that software developers love to use Collaborate with architects to identify and gain sign-off for API deployment Partner w/ UI & API team to ensure seamless integration of DSE deliverables into SW platform Maintain backlog for API needs across a broad set of end users ensuring user stories and prioritization are transparent Implement microservices architecture in AWS Ensure that all APIs are fully tested in an automated framework, including functional and performance tests. Competencies: Eager/open to learning core data science/machine learning/operations research concepts Passion for developing easy-to-use and customer-delightful APIs, working directly with and demonstrating a deep understanding of the end-user / customer Passion for software development and modern software development practices, including lean and agile Deep commitment to quality, reliability, scalability and maintainability Egoless and works and interacts well with software engineering, product management, data scientists and non-technical users Passion for Indigo mission and values Great listener and communicator, written and oral Technically knowledgeable and not afraid to technically challenge engineers Ability and passion to quickly learn new technologies and industries, staying up-to-date with technology and best practice trends Results oriented, demonstrating a passion to release software, while not compromising on quality and being sensitive to the specific needs for the customer and the application' s usability Experience implementing complex algorithms at scale Qualifications: Deep understanding of API design, including versioning, isolation and micro-services 4+ years of experience building internal and / or external APIs required Experience implementing and productionizing machine learning and operations research models Experience developing RESTful API; GraphQL ideal Experience designing and documenting internal and external (commercial) APIs leveraging an API documentation framework (e.g. Apiary, Swagger) Working knowledge of various implementation stacks and tradeoffs (e.g. java, python) Experience with Amazon services Actively practicing lean / agile software methodologies or similar Bachelor' s degree in computer science, mathematics or equivalent required Job Number: 227833
Salary Range: NA
Minimum Qualification
5 - 7 years

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