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About
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 management Define and track KPIs to measure model performance and business impact Collaborate 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 requirements Degree or equivalent years of experience in data science, statistics, computer science, or similar quantitative field Ability 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 context Hands-on experience with AWS cloud services including SageMaker, Athena, RDS, Glue, ECR, IAM, and CodeBuild Master-level understanding of SQL Prior track record of a customer-friendly approach in presenting information and analysis for non-technical audiences Master’s degree or PhD in math and/or statistics centric field of study Experience 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 resources Experience 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/Disability All 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.
Languages
- English
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