Lead Data Science Engineer

Key Skills

Aartificial intelligence, Apache Hadoop, Apache Hive, Apache Kafka, Data science techniques, Effective communication skills, IT, Leadership Skill, Machine learning techniques, Management, RDBMS, Scala Programming, Shell Scripting language, SPARK Programming

Job Description

The Lead Data Science Engineer role at naviHealth will report to the VP or Director, Data Science and will build data ingestion pipelines, create features, help develop and enable production deployment of machine learning algorithms and analytic tools that will promote enhanced decision support and improved solutions for our internal/external customers. The ideal candidate while focused on AI/ML engineering tasks should be able to participate in all aspects of the product development activities especially in areas of data integrations, data ingestion and work closely with IT and Product/Business teams.

Responsibilities

• Develop, enhance, integrate, test and deploy machine learning solutions
• Lead end-to-end implementation of AI/ML powered platform features and capabilities
• Collaborate with nH Product, Business and IT teams in designing, implementing Data Science products in production and integrating with operational systems
• Deliver professional level technical work related to big data and complex large data sets, building data ingestion pipelines (streaming and batch data), feature engineering and deploying algorithms in production
• Mentor and coach junior Data Science Engineers and Data Scientists on various data acquisition, data preparation, ML model management and other Data Science automations tasks
• Operate within established methodologies, procedures and guidelines; work independently in a fast-paced, agile environment
• Develop technical specifications and design documents
• Identify, analyze, and interpret trends or patterns in complex data sets. Deliver actionable recommendations and support implementations of solutions
• Travel requirements: None
• Perform other duties and responsibilities as required, assigned, or requested.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science or related discipline (Engineering, Mathematics, Applied Sciences); Master’s degree preferred
• 8+ years of experience in architecting, developing and deploying data solutions especially for analytics and machine learning projects
• Expert in RDBMS and experience with Spark, Scala, shell scripting
• Experience in writing solid unit tests and integration tests
• Experience in designing and developing/coding software components in Bigdata, that includes various tools like Map Reduce, Hive, Sqoop, Kafka, Spark/Scala or Java
• Strong project leadership and management skills required
• Strong written, verbal and visual communication skills required
• Ability to collaborate and work in fast-paced agile product development teams
• US healthcare knowledge and experience preferred
• Experience with Microservice architecture and Kubernetes preferred
• Experience with .net preferred
• Experience with cloud-based deployments and ML capabilities

About naviHealth

naviHealth is improving the healthcare experience for seniors to live more fulfilling lives. For nearly a decade, naviHealth has been a trusted partner for the nation’s top health plans, health systems, and at-risk physician groups navigating the shift from volume to value. Powered by a predictive technology and decision support platform that provides clinicians and care teams with evidence-based protocols, naviHealth’s high-touch, proven care model fully supports patients from pre-acute through to the home. With naviHealth, patients can enjoy more days at home, and healthcare providers and health plans can significantly reduce costs specific to unnecessary care and readmissions. For more information about naviHealth, visit navihealth.com.

Our Purpose

Improving the healthcare experience for seniors to live a more fulfilling life

Our Values

Rooted in respect

Guided by purpose

Devoted to service

Energized by impact

The above statements are intended to describe the general nature and level of work performed by colleagues assigned to this job. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications. naviHealth reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.