Senior Data Scientist

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

Fortive 9 Behaviors by Level:

Influencing & Mentoring

Customer Obsessed: Champions a customer-focusedculture by anticipating evolving needs and shaping solutions that deliver long-term value.

Strategic: Drives organizational impact by using data to derive insights that inform near-term and mid-range goals

Innovation for Impact: Influences innovation through demonstrating bold thinking and experimentation in own work and coaching others to do the same.

Inspiring: Demonstrates purpose-driven impact through expertise and collaboration.

Builds Extraordinary Teams: Drives impact through collaboration and influence by fostering trust sharing expertise and aligning efforts across teams.

Courageous: Influences and leads by example through action and integritymoves quickly toward goals tackles challenges head-on and encourages open sharing of ideas without fear.

Delivers Results: Leads complex initiatives to successful completion with high standards precision and urgency.

Adaptable: Applies rigor and stays true to process while fostering adaptability within the team.

Lead with FBS: Embraces FBSand models lean principles by mentoring peers and influencing teams and going to Gembafor first-hand insights.