The Role
Build and productionize machine learning models for healthcare products, define and track KPIs, collaborate with product and customers to scope analytics projects, communicate results to technical and non-technical stakeholders, and improve analytics practices across the team.
Summary Generated by Built In
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 Data Scientist II 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.
Representative Duties
- 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. Translate ambiguous business problems into well defined, quantitative, and testable hypotheses.
- 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
- Raise the skill level of the entire analytics team by modeling strong research communication through team presentations and documentation. Drive collaboration through code reviews, experimental design feedback, and participation in model evaluation discussions.
Required Qualifications:
- 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. Flask, FastAPI)
- A willingness to leverage genAI tools to assist with rapid experimentation
- 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
- Strong knowledge of Git workflows and version control best practices
- Understanding of SQL
- Prior track record of a customer-friendly approach in presenting information and analysis for non-technical audiences
- Excellent verbal and written communication skills with an ability to advocate technical solutions to engineering teams as well as business stakeholders
Preferred Qualifications:
- Master’s degree or PhD in math and/or statistics centric field of study
- Experience on a data team of a similar size (<5)
- 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
This position is a remote position and open to applicants in the continental United States.
Why Bluesight?
Bluesight’s culture is built on innovation and teamwork. There’s room to grow and opportunities to take initiative. You will partner with sharp, motivated teammates looking to disrupt a massive industry—and have fun doing it. We truly believe that where you work and what you do matters. Join us as we revolutionize the hospital pharmacy landscape!
-Competitive salary
-Time off when you need it – unlimited vacation days!
-Generous insurance coverage
-401k program with a company match
-Fun, collaborative culture!
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.
Skills Required
- 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. Flask, FastAPI)
- A willingness to leverage genAI tools to assist with rapid experimentation
- Understanding of statistical models including distributions and transformations; ability to create and evaluate supervised and unsupervised machine learning models (tree-based models, clustering)
- Hands-on experience with AWS cloud services including SageMaker, Athena, RDS, Glue, ECR, IAM, and CodeBuild
- Strong knowledge of Git workflows and version control best practices
- Understanding of SQL
- Prior track record of a customer-friendly approach in presenting information and analysis for non-technical audiences
- Excellent verbal and written communication skills with ability to advocate technical solutions to engineering teams and business stakeholders
- Master's degree or PhD in math and/or statistics centric field of study
- Experience on a data team of a similar size (<5)
- Experience working with protected healthcare data (e.g. ADM, EHR) and pharmaceutical supply chain logistics
- Experience with infrastructure as code using Terraform to manage cloud resources
- Experience with MLOps including deployment using MLflow, containerization with Docker, CI/CD pipelines, and monitoring
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The Company
What We Do
Bluesight solves supply chain inefficiencies and reduces risk by using AI and machine learning to surface actionable analytics for every step of the medication lifecycle. Through our suite of Medication Intelligence™ solutions, Bluesight brings simplicity, visibility, and predictability to the complex world of medication management. More than 1,600 U.S. and Canadian hospitals utilize Bluesight solutions to optimize their hospital’s pharmacy practices by improving efficiency, reducing medication costs, and increasing compliance and safety.
