Data Scientist
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Job Location:
Minneapolis, MN - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Department:
Job Summary
The Data Scientist designs develops and deploys advanced analytics and machine learning models to improve healthcare outcomes and operational efficiency within healthcare SaaS platforms. This role collaborates with cross-functional teams to analyze complex datasets generate actionable insights and integrate data-driven solutions into secure scalable and compliant cloud-native environments. The Data Scientist is responsible for driving innovation in statistical modeling ensuring responsible AI practices and supporting the adoption of modern data engineering and visualization best practices.
Key Responsibilities:
1. Advanced Machine Learning & AI Engineering
Design develop and optimize supervised unsupervised and reinforcement learning models.
Implement and fine-tune deep learning architectures using frameworks such as TensorFlow and PyTorch.
Apply ethical AI principles including fairness transparency privacy and bias mitigation.
Deploy and monitor models in production environments ensuring scalability and reliability.
2. Data Engineering & Cloud-Native Architecture
Build and maintain scalable data pipelines and ETL processes for real-time and batch analytics.
Engineer robust data architectures using Spark MetaFlow Databricks and cloud platforms (Azure AWS GCP).
Manage and manipulate large healthcare datasets for model development and analytics.
Ensure data quality integrity and security throughout the analytics lifecycle.
3. Statistical Modeling & Quantitative Analysis
Apply advanced statistical methods hypothesis testing and predictive analytics to healthcare data.
Design and interpret causal AI experiments to support business and clinical decision-making.
Develop and validate predictive models for patient outcomes and operational efficiency.
4. Data Visualization & Communication
Create compelling visualizations using Tableau Power BI or similar tools.
Translate complex data and analytics into clear actionable insights for technical and non-technical stakeholders.
Communicate findings effectively to engineering product and clinical teams.
5. Healthcare Domain Expertise & Compliance
Ensure solutions adhere to healthcare data standards (HL7 FHIR) and regulations (HIPAA GDPR CCPA).
Work with clinical datasets and understand healthcare workflows to ensure relevance and compliance.
Stay current with healthcare regulations and data privacy requirements.
6. Collaboration & Continuous Learning
Work closely with product engineering clinical and compliance teams to deliver integrated data-driven solutions.
Share knowledge and mentor team members on data science concepts and tools.
Commit to continuous improvement and staying current with industry trends and best practices.
Required Qualifications:
Education & Experience Guidelines
Bachelors degree in computer science data science or other relevant field.
5-8 years of relevant work experience
Experience developing predictive models and working with healthcare data standards.
Occasional travel may be required.
Other Preferred Knowledge Skills Abilities or Certifications:
Cloud Platforms: AWS Azure GCP
AI Tools: Spark MetaFlow Databricks
Healthcare Compliance: HIPAA GDPR CCPA
Healthcare Standards: HL7 FHIR
AI Ethics: Fairness transparency bias mitigation
Certifications: Azure Data Scientist Associate Google Cloud Data Engineer CHDA IBM Data Science
Visualization Tools: Tableau Power BI
Communication: Ability to translate complex data into actionable insights
Required Experience:
IC
Key Skills
About Company
Fortive Corporation Overview Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product d ... View more
