At IMO Health a core team of software developers data scientists and domain experts combines computer science and healthcare expertise to help professionals access highquality health information quickly and easily. We need a Senior Data Scientist with a strong background in building and maintaining AIdriven web applications to join this team!
In this role you will design develop and optimize machine learning models for realworld healthcare applications. You will work with large complex datasets apply cuttingedge machine learning and natural language processing (NLP) techniques and collaborate with crossfunctional teams to integrate AI solutions into our products.
A successful candidate will have experience in endtoend machine learning model development from data preprocessing and feature engineering to model training evaluation and deployment in production environments. You should be comfortable with cloudbased AI infrastructure scalable ML pipelines and best practices in MLOps.
Join our growing Data Science & Analytics department as a Senior Data Scientist to help drive AIpowered innovation in healthcare!
WHAT YOULL DO:
Leverage machine learning deep learning prompt engineering and data mining techniques to develop Clinical AI solutions.
Develop knowledge graphs and structured data representations to enhance AIpowered insights and decisionmaking.
Conduct healthcare research by applying machine learning deep learning prompt engineering data mining and AI techniques.
Implement advanced statistical predictive modeling and deep learning techniques ensuring interpretability and scalability.
Develop and maintain ML pipelines integrating multiple data sources including warehoused and premodeled data.
Interpret and communicate insights and findings through reports dashboards and presentations for internal and external audiences.
Support organizational decisions with wellvalidated models algorithms and datadriven recommendations.
Follow software engineering best practices to write clean reliable and testable code supporting rapid delivery via CI/CD and automated deployments.
Work closely with Product Owners and crossfunctional teams to align AI/ML solutions with business needs.
Estimate technical work for product requests assisting in roadmap planning and prioritization.
Champion adherence to technical standards and ensure alignment with architectural direction.
Identify track and minimize technical debt within the team.
Lead and coordinate incident resolution root cause analysis and preventive action implementation.
Collaborate with architects to explore new technologies proofofconcepts (PoCs) and technical roadmaps.
Mentor team members fostering technical growth and skill development in machine learning NLP and AI research.
Proactively anticipate challenges and implement creative outofthebox solutions to technical problems.
Foster a culture of continuous learning staying up to date on data science ML AI and analytics tools techniques and industry best practices.
WHAT YOULL NEED:
Masters degree in Statistics Data Science Computer Science or a related field; PhD preferred.
Strong foundation in data science machine learning deep learning and AI principles.
Advanced knowledge of statistical techniques probability multivariate calculus and linear algebra.
Demonstrated experience building finetuning and deploying machine learning models including large language models (LLMs) NLP models and predictive analytics solutions.
Experience in prompt engineering Langchain Agentic AI and transfer learning techniques for LLMs.
Handson experience with deep learning frameworks such as TensorFlow or PyTorch.
Experience implementing knowledge graphs and structured data models for AIdriven applications.
Expertise in model versioning monitoring A/B testing and deployment in production environments.
Strong experience with Python for machine learning data processing and fullstack development.
Handson experience with AWS cloud services including SageMaker Lambda Redshift and infrastructureascode (Terraform).
Experience developing and maintaining MLOps pipelines and integrating ML models into production systems.
Proficiency in CI/CD pipelines with tools like Octopus Deploy Git and automated testing frameworks.
Proficiency in data extraction transformation and feature engineering from large complex datasets.
Strong ability to prioritize execute tasks efficiently and solve complex technical challenges.
A proactive and curious mindset with a willingness to explore innovative solutions.
Excellent communication skills and presentation skills with the ability to collaborate across teams and mentor colleagues.
Ability to document processes methodologies and best practices for knowledge sharing.
Experience with vector databases (e.g. Pinecone PostgreSQL) for AI applications.
Familiarity with Graph Neural Networks (GNNs) or knowledge representation techniques.
$131000 $178000 a year
Compensation at IMO Health is determined by job level role requirements and each candidates experience skills and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses equity or sales incentives which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.
IMO Health also offers a comprehensive benefits package. To learn more please visitIMO Healths Careers Page.
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