Arthrex, Inc. is a global medical device company and a leader in new product development and medical education in orthopedics. The Data & Analytics COE -IT team at Arthrex is growing and we are actively searching for a Data Scientist. This is a temporary position that is based at our campus in Naples, FL. Join our talented team at a global medical device company focused on Helping Surgeons Treat Their Patients Better™.
Main Objective: Responsible for supporting full life cycle development of machine learning models, which includes problem analysis, data collection, data exploration and preparation, model design, testing and validation, model maintenance within ML scope of general AI, NLP, CV, LLM and others.
Essential Duties and Responsibilities:
Collaborates with data engineers and domain experts to profile and understand the quality of data sources and propose data clean up methods.
Applies Statistical Analysis and Machine Learning (ML) techniques to profile and organize data sources and understand their quality.
Collaborates with business leaders, domain experts, Data Analysts & Data Engineers to design ML solutions and their acceptance criteria.
Independently designs and conducts numerical experiments to prove principles and concepts behind ML solutions.
Collaborates with domain experts and Data Analysts & Data Engineers to understand how best to deliver a ML solution.
Collaborates with external partners to integrate Analytics and ML tools into business solutions.
Communicates with business leaders, domain experts and Data Analysts & Data Engineers to provide actionable insights from the data sources.
Participates in the review of design model verification, deployment and monitoring procedures.
Identifies and pursues novel technology to support future strategic opportunities.
Oversee and support as appropriate, publications as needed within the scope of ML.
Supports Quality System Audits conducted by external agencies, such as FDA, Notified Body and/or Regulatory Agency audits.
Skills
Working knowledge of scripting language to conduct data manipulation, statistical analysis, and ML modeling.
Ability to organize, document and version control analysis scripts and models.
Ability to organize and visualize numerical results.
Software agile (SDLC) process practices preferred.
Education/ Experience
Bachelor's degree in a related field required in Statistics, Applied Math, Engineering or Physics
All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other status protected by law.
