Intern - Data Scientist

Why Orthofix?
    

Guided by our organizational values – Take Ownership | Innovate Boldly | Win Together – we collaborate closely with world-class surgeons and other partners to improve people’s quality of life. At Orthofix, we want team members who build relationships and share knowledge, challenge the status quo, and deliver results every day to help us achieve our vision to be the unrivaled partner in Med Tech.  

Our global team of over 1,600 employees brings to market highly innovative, cost-effective, and user-friendly medical technologies that heal musculoskeletal pathologies for patients and the healthcare professionals who treat them. Looking to change people’s lives? Look no further.

The Data Scientist I supports the data and software development teams by preparing datasets, building dashboards, and assisting in developing analytical and AI-driven solutions. This role helps translate data into insights that guide product development and business decisions. The ideal candidate demonstrates curiosity, attention to detail, and foundational technical skills in data analytics and machine learning, with a desire to grow in a fast-paced, technology-driven environment.

Data Analytics & Reporting

• Collect, clean, and organize data from multiple internal and external sources.
• Build and maintain reports and visualizations to track product and operational metrics.
• Support senior team members in analyzing trends and preparing summaries for stakeholders.

AI Modeling & Machine Learning Support

• Prepare datasets for model training and validation.
• Implement, tune, and test machine learning models under supervision.
• Support data labeling, model monitoring, and performance tracking activities.

Data Infrastructure & Collaboration

• Partner with software engineers to ensure accurate data collection and storage.
• Follow data documentation and governance standards.
• Communicate findings clearly to teammates and contribute to knowledge-sharing sessions.

Innovation & Continuous Improvement

• Stay up to date with emerging tools and techniques in analytics and AI.
• Participate in learning initiatives to expand skills in modeling, data engineering, and visualization.

Education/Certifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field.

Experience, Skills, Knowledge, and/or Abilities:

• 0–2 years of industry experience in data analytics, reporting, or machine learning.
• Basic proficiency in Python, R, or a similar programming language.
• Familiarity with data visualization tools (Tableau, Power BI, or similar).
• Understanding of databases and querying (SQL).
• Strong problem-solving and communication skills.

Preferred Qualifications:

• Exposure to cloud data platforms (AWS, Azure, GCP).
• Familiarity with Agile environments and version control tools (Git).
• Understanding of machine learning frameworks (scikit-learn, TensorFlow, PyTorch).

DISCLAIMER

The duties listed above are intended only as representation of the essential functions of this position.  The omission of specific statements of duties does not exclude them from the position if the work is similar, related, or a logical assignment to the position.  The job description does not constitute an employment agreement between the employer and employee and is subject to change at the sole discretion of the employer.  Nothing in this document alters an employee’s at-will employment status.

We are committed to providing equal employment opportunities to all employees and applicants without regard to race (including traits historically associated with race, such as hair texture and protective hairstyles, including braids, locks, and twists), ethnicity, religion, religious creed (including religious dress and grooming practices), color, caste, sex (including childbirth, breast feeding, and related medical conditions), gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member and veteran status, marital status, pregnancy, age (40 and over), protected medical condition (including cancer and genetic conditions), genetic information, disability (mental and physical), reproductive health decision-making, medical leave or other types of protected leave (requesting or approved for leave under the Family and Medical Leave Act or the California Family Rights Act), domestic violence victim status, political affiliation, or any other protected status in accordance with all applicable federal, state, and local laws.

This policy extends to all aspects of our employment practices including, but not limited to, recruiting, hiring, discipline, termination, promotions, transfers, compensation, benefits, training, leaves of absence, and other terms and conditions of employment.