Principal Data Scientist - Machine Learning

Arthrex, Inc. is a global medical device company and a leader in new product development and medical education in orthopedics. Arthrex is actively searching for a Principal Data Scientist. 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.

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 and ML 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 ML Engineers to understand how best to deliver a ML solution.
• Collaborates with external partners to integrate Analytics and ML tools into clinical solutions.
• Communicates with business leaders, domain experts and ML engineers to provide actionable insights from the data sources.
• Participates in the review of design model verification, deployment, and monitoring procedures.
• Participates in the review of software product complaints and performs root cause failure analysis.
• Identifies and pursues novel technology to support future strategic opportunities.
• Supports Quality System Audits conducted by external agencies, such as FDA, Notified Body and/or Regulatory Agency audits.
• Travel up to 10-15% domestically and internationally.

Skills:

• Strong experience leading complex, cross functional teams independently.
• Experience defining strategic direction that addresses both business and technical risks.
• Broad knowledge of application of systems engineering to the medical software industry required.
• Broad technical knowledge in ML methods, their design, and implementation trade-offs.
• Deep technical knowledge of statistical techniques for data analysis and hypothesis testing.
• Strong technical communication and presentation skills required.
• Knowledge of Software agile (SDLC) practices required.

Education/ Experience:

• Master’s degree in a related field required in Statistics, Applied Math, Engineering or Physics.
• PhD degree in a related field preferred.
• 12 years of relevant work experience required

All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.