Engineering Manager, Machine Learning
RunwayFull Time
Junior (1 to 2 years), Senior (5 to 8 years)
Candidates must possess 7+ years of professional experience in data science, machine learning, data engineering, or a related technical discipline. Proven experience in managing or leading technical teams with an emphasis on mentoring and delivery is required. A strong understanding of Object-Oriented Programming (OOP) principles, proficiency in Git for version control, and hands-on experience with JIRA or similar tools are essential. Exceptional analytical, problem-solving, and critical thinking skills are necessary, along with strong verbal and written communication abilities. The role also requires hands-on experience building and architecting end-to-end NLP, data science, and machine learning solutions using Python, SQL, and AWS services (EC2, Lambda, Glue, SNS, SQS, Sagemaker, EMR, Athena).
The Data Science Team Manager will lead and drive data science initiatives, acting as a hands-on leader in designing and architecting data solutions, streamlining workflows, and contributing directly to team deliverables. Responsibilities include partnering with senior leadership to define data strategy aligned with business objectives, developing and enforcing data governance frameworks, and optimizing processes for team efficiency and quality. The manager will actively mentor and upskill team members, foster cross-functional collaboration with engineering, product, analytics, and business teams, and drive a culture of responsibility and accountability. Balancing multiple concurrent projects to ensure high-quality outcomes and timely delivery, while staying updated on current technologies and industry best practices, are also key duties. The role involves actively engaging in coding, solution design, and problem-solving alongside the team.
Automates prior authorization in healthcare
Cohere Health improves the prior authorization process in healthcare, which requires providers to get approval from health plans before delivering certain services. Their platform, Cohere Unify, automates and streamlines these requests by integrating with electronic medical records and using technologies like optical character recognition and machine learning. This approach allows for faster decision-making and reduces delays in patient care. The goal is to make the prior authorization process more efficient, benefiting healthcare providers, health plans, and patients.