Job Details

At Bluesight, our mission is to create groundbreaking solutions that increase efficiency, safety and visibility for health systems, hospital pharmacy, and pharmaceutical manufacturers. We empower our customers to deliver the right medicine to the right patient at the right time, every time. We are a high growth healthcare information technology company with a start-up 'vibe' but over 3,000 customers using our proven solutions.Bluesight is looking for a Senior Data Scientist to join our central data team and help us drive the success of data science and analytics efforts across the organization. This role will work closely with external and internal stakeholders to deliver value through all stages of the RnD life cycle: identifying opportunities, building core infrastructure, running predictive models, analyzing impact, and highlighting improvement areas. This person will partner with cross-functional peers to strengthen Bluesight's data culture and help us innovate within our suite of Medication Intelligence products.Develop and productionize machine learning models for a range of healthcare products, including monitoring controlled substance handling and patient privacy, and inventory managementDefine and track KPIs to measure model performance and business impactCollaborate with product teams and customers to scope analytics projects and build prototypes. Communicate technical findings to both technical and non-technical stakeholders, including customers. Present results and recommendations in customer-facing meetings.Inform product roadmaps, evaluate technical feasibility, and assess project risks.Quickly ramp up on new healthcare data sources as products evolve and adapt to new ML techniques and tools as needed for product requirementsDegree or equivalent years of experience in data science, statistics, computer science, or similar quantitative fieldAbility to develop and productionize code in Python to serve API endpoints (e.g. Deep understanding of statistical models including distributions and transformations.Ability to create and evaluate supervised and unsupervised machine learning models (tree-based models, clustering) in a practical/applied contextHands-on experience with AWS cloud services including SageMaker, Athena, RDS, Glue, ECR, IAM, and CodeBuildMaster-level understanding of SQLPrior track record of a customer-friendly approach in presenting information and analysis for non-technical audiencesMaster's degree or PhD in math and/or statistics centric field of studyExperience on a data team of a similar size ()Experience working with protected healthcare data (e.g. ADM, EHR) and pharmaceutical supply chain logistics (e.g. invoicing, cost optimization)Experience with infrastructure as code using Terraform to manage cloud resourcesExperience with MLOps including deployment using MLFlow and containerization with Docker, CI/CD Pipelines, and monitoring$Actual amounts and salary will vary depending on position offered, experience, performance, and location. This position is a remote position and open to applicants in the continental United States.Join us as we revolutionize the hospital pharmacy landscape!-EOE AA M/F/VET/DisabilityAll qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, religion, color, national origin, sex, protected veteran status, disability, or any other basis protected by federal, state or local laws.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please contact us.