• Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges • Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling • Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy • Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy

Apogee Global RMS is looking for a Senior Data Scientist who can turn complex data into actionable intelligence. This person will design, develop, and deploy predictive models, machine learning solutions, and analytical frameworks that support product innovation and strategic decision‑making. This role is ideal for someone who thrives in a collaborative environment and enjoys solving complex problems with data. Key Responsibilities: - Build and optimize machine learning models and statistical algorithms. - Analyze large, structured and unstructured datasets to identify trends and insights. - Develop dashboards, visualizations, and automated reporting tools. - Partner with engineering, product, and business teams to integrate data‑driven insights into strategy. - Validate model performance and ensure data quality, accuracy, and reliability. - Communicate findings clearly to technical and non‑technical stakeholders. - Support ongoing AI/ML initiatives across the organization.

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, D3.js, 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 - Bachelor's 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, d3.js - Communication: Ability to translate complex data into actionable insights 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 design, and healthcare safety solutions. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions. We are a diverse team 18,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating. Fortive: For you, for us, for growth. About Provation Provation is a leading provider of healthcare software and SaaS solutions for clinical productivity, care coordination, quality reporting, and billing. Our purpose is to empower providers to deliver quality healthcare for all. Provation’s comprehensive portfolio spans the entire patient encounter, from pre-procedure through post-procedure, with solutions for physician and nursing documentation (Provation® MD, Provation® Apex, MD-Reports, Provation® endoPRO®, and Provation® MultiCaregiver), anesthesia documentation (#1 Best in KLAS Provation® iPro), patient engagement, surgical care coordination, quality reporting, and billing capture (Provation® SurgicalValet™), order set and care plan management (Provation® Order Set Advisor™ and Provation® Care Plans), and EHR embedded clinical documentation (Provation® Clinic Note). Provation has a loyal customer base, serving more than 5,000 hospitals, surgery centers, and medical offices, and 700 physician groups globally, including 19 of the top 20 U.S. hospitals. In 2021, Provation was acquired by Fortive Corporation, a Fortune 1000 company that builds essential technology and accelerates transformation in high-impact fields like workplace safety, engineering, and healthcare. For more information about our solutions, visit provationmedical.com and follow us on Twitter, Facebook, and LinkedIn. Our purpose at Provation is to empower providers to deliver quality healthcare for all. To deliver on this commitment, we’re guided by our core values – Provation has a culture of CARES: Community - We have a shared sense of improving healthcare, enriching the broader world we live in and serve. Accountability - We own it and get it done with integrity. Respect - We build diverse teams that collaborate and communicate with positive intent and trust. Excellence - We welcome new ideas as we innovate quality solutions. Service - We are passionate about putting customers first. We Are an Equal Opportunity Employer Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.

• Gather, clean, and preprocess data from various sources to ensure its quality and usability for analysis. • Analyze data using statistical methods and tools to identify trends, patterns, and insights that can inform business decisions. • Develop predictive and prescriptive models to forecast future outcomes and optimize business processes. • Create reports and visualizations to effectively communicate findings to stakeholders and support decision-making. • Work closely with business units to understand their data needs and provide actionable insights that drive strategic initiatives. • Monitor and evaluate the performance of implemented models and strategies, adjusting as necessary to improve outcomes. • Conduct ad hoc analyses to support various business needs and answer specific questions as they arise. • Stay updated with the latest trends and technologies in data analytics and continuously improve analytical methods and processes. • Other duties as assigned.