Job Description
Operating Company
Provation
Job Function
Data Technology
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. “
Bonus or Equity
This position is also eligible for bonus as part of the total compensation package.
Provation is looking for an experienced hands-on data scientist to continue building the culture of innovation at Provation. The right candidate has active hands-on data science experience who can also articulate data insights and technical concepts to executive audiences. The Data Scientist role requires the ability to develop innovative solutions, perform risk analysis, and be comfortable working in a rapid, fail-fast environment as well as provide a vision for future data science products and capabilities.
Duties & Responsibilities:
- Drive execution and play a vital role in building a culture of innovation at Provation.
- Assist with growing organization-wide data science capabilities.
- Collaborate with cross-functional stakeholders and customers to understand their business needs, formulate and complete end-to-end review that include: data gathering, review, scaled deliverables, recommendations and presentations to stakeholders.
- Contribute to a wide variety of technical projects using natural language processing, statistical analysis, machine-learning, and other forms of analytical modeling.
- Effectively manage stakeholder expectations, ensuring alignment with project objectives.
- Coordinate project timelines, milestones, and deliverables to ensure efficient progress and successful outcomes.
- Translate data science model impacts, insights, and methodologies into accessible language for non-technical team members.
- Assist in building and maintaining a data governance framework
- Foster a culture of understanding and appreciation for data-driven decision-making across the organization.
- Other duties and projects as assigned
Job Requirements:
- Hold a bachelor’s degree (or its equivalent) in computer-science/information-theory/language-technologies or a related field is required, and a Master or PhD is preferred
- 5+ years of related experience
Preferred Qualifications:
- Proven track record of success in applying data science techniques to real-world business problems.
- Expertise in programming languages such as Python, R, or SQL, and familiarity with data manipulation and visualization libraries (e.g., pandas, matplotlib, seaborn).
- Strong knowledge of machine learning algorithms, deep learning techniques, and statistical modeling.
- Experience with big data technologies and platforms (e.g., Hadoop, Spark) and cloud computing services (e.g., Azure, AWS, GCP).
- Excellent analytical and problem-solving skills, with the ability to think critically and creatively to solve complex problems.
- Effective communication and collaboration skills, with the ability to present technical concepts to non-technical stakeholders.
- Proven leadership experience, with the ability to lead and mentor a team of data scientists.
- Demonstrated experience in stakeholder management, project coordination, and communication within a data science or related technical environment.
- Proficiency in conveying complex technical concepts to diverse audiences.
- Strong organizational skills and attention to detail.
- Ability to thrive in a dynamic, collaborative team environment.
Other Knowledge, Skills, Abilities or Certifications:
- Lead end-to-end data science projects, from problem definition and data collection to model development and deployment.
- Design and develop machine learning models and algorithms to analyze large, complex datasets and extract meaningful insights.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Explore and implement advanced statistical techniques to uncover trends, patterns, and correlations in data.
- Develop predictive models and forecasting algorithms to support decision-making and drive business growth.
- Evaluate model performance and make recommendations for model improvements and optimizations.
- Stay updated on the latest developments in data science, machine learning, and AI technologies, and identify opportunities for innovation and improvement.
- Provide technical guidance and support as needed.
Please note: at this time, visa sponsorship is not available.
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.
Fortive: For you, for us, for growth.