Data Scientist Intern
Fortive•Minneapolis, MN
•$20 - $40
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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
- 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
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What This Job Offers
Career Level
Intern
