Data Scientist Intern at Vontier

Minneapolis, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jul, 26

Salary

0.0

Posted On

07 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Machine Learning, Python, R, SQL, Statistics, Data Visualization, ETL, Cloud Computing, Data Cleaning, Model Validation, Healthcare Data, Tableau, Power BI, Communication, Agile

Industry

electrical;Appliances;and Electronics Manufacturing

Description

The Data Scientist Intern supports the use of data, analytics, and machine learning to improve healthcare outcomes and operational efficiency within a healthcare SaaS environment. Under the guidance of experienced data scientists and cross-functional partners, the intern will assist with analyzing datasets, building models, and generating insights that inform product, engineering, and business decisions. The role provides hands-on exposure to real-world healthcare data and applied data science practices. Key Responsibilities: 1. Foundational Data Science & Analytics Skills • Assist with data exploration, cleaning, and preparation for analysis and modeling. • Support development and evaluation of basic statistical or machine learning models under supervision. • Apply foundational concepts in probability, statistics, and data analysis to assigned problems. 2. Data Engineering & Tooling Awareness • Support data workflows that may include structured and unstructured datasets. • Gain exposure to ETL concepts, data pipelines, and cloud-based data environments. • Assist with querying datasets using SQL and/or Python-based tools. 3. AI Readiness & Model Awareness • Develop familiarity with supervised and unsupervised learning concepts and how models are used in production systems. • Support model validation, basic experimentation, or feature analysis as appropriate for intern-level work. • Build awareness of ethical AI principles such as data privacy, bias, and responsible use. 4. Data Visualization & Communication • Help create basic visualizations, summaries, or dashboards to communicate findings. • Translate analytical results into clear insights for technical and non-technical stakeholders with guidance. • Contribute to documentation of analyses, assumptions, and learnings. 5. Healthcare Domain & Compliance Awareness • Build foundational understanding of healthcare data concepts and workflows. • Follow team standards related to data privacy, security, and compliance (e.g., HIPAA awareness). • Learn how healthcare data standards (e.g., HL7, FHIR) influence analytics and modeling work 6. Collaboration & Learning • Collaborate with data scientists, engineers, and product partners as part of an agile team. • Participate in team meetings, standups, and reviews as a learning experience. • Demonstrate curiosity, willingness to learn, and openness to feedback Required Qualifications: Education & Experience • Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Graduating December 2026 or later. • Academic, research, or project experience involving data analysis, statistics, or machine learning (coursework, capstone, or personal projects). • Interest in healthcare, SaaS, analytics, or applied data science. Other Preferred Knowledge, Skills, Abilities or Certifications: • Programming & Analysis Tools: Python and/or R; basic SQL knowledge. • Data & ML Libraries: Exposure to pandas, NumPy, scikit-learn, TensorFlow, or PyTorch (coursework acceptable). • Visualization Tools: Familiarity with Tableau, Power BI, or Python visualization libraries (e.g., matplotlib, seaborn). • Cloud Exposure: Awareness of AWS, Azure, or GCP data services is a plus. • AI & Ethics Awareness: Interest in responsible AI, data privacy, and bias mitigation. • Communication: Ability to explain analytical findings clearly and concisely. 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.

Responsibilities

The intern will support data exploration, cleaning, and the development of statistical or machine learning models to improve healthcare outcomes. They will also assist in creating visualizations and communicating analytical insights to both technical and non-technical stakeholders.