Data Science and Analytics Engineer II

About the Role

Key Responsibilities

• Contribute to glucose sensing technology innovation and research, including technology transfer from research to development, algorithm development, simulation, and modeling
• Support data processing and ensure data quality used in downstream analytics and algorithm development efforts
• Apply principles of signal processing, machine learning, analytics, and modeling to construct algorithms in MATLAB or other software packages to test concepts
• Analyze and quantify large amounts of data to generate verifiable conclusions
• Identify problem areas and work with the team to gather the experimental data necessary to address these
• Support complex projects to meet technology performance and schedule objectives
• Support department functional groups in defining product features and requirements
• Comply with external and internal regulatory requirements
• Write detailed technical and scientific reports and manuscripts
• Apply data analysis results to aid product development decisions and clinical study design

Requirements

• Requires a Bachelor's Degree and minimum of 2 years of relevant experience, or advanced degree with 0 years of experience
• Working knowledge of advanced analytics methods, modeling, advanced signal processing, and/or machine learning methodologies
• Demonstrated experience with data processing, statistical analysis, and signal processing
• Proficient in MATLAB programming language, Python programming language, and/or other signal processing environments
• Excellent verbal and written communication skills
• Demonstrated ability in managing/supporting multiple projects in a deadline-driven environment
• Experience with producing and presenting engineering/technical presentations
• Demonstrated ability in producing written documentation such as specifications, engineering reports, test plans, validation plans, and validation reports
• Knowledge of and experience with machine learning
• Industry or academic experience working with biological signals, preferably in medical devices
• Understanding of statistical techniques and methods
• Experience with Big Data and Cloud environments

Nice to Have

• Degree in Electrical Engineering, Computer Science, Biomedical Engineering (signal processing/analytics focus), Mathematics, Physics or related discipline
• Knowledge of advanced analytics methods, modeling, and machine learning techniques
• Experience with data processing, statistical analysis, and signal processing
• Experience with Big Data and Cloud environments

Qualifications

• Bachelor's Degree or advanced degree in a relevant field

Benefits & Perks

• Competitive salary and flexible benefits package
• Health, Dental and Vision insurance
• Health Savings Account, Healthcare Flexible Spending Account
• Life insurance, Long-term disability leave
• Dependent daycare spending account
• Tuition assistance/reimbursement
• Simple Steps global well-being program
• Incentive plans, 401(k) plan with employer contribution and match
• Paid time off, paid holidays
• Employee Stock Purchase Plan
• Employee Assistance Program
• Non-qualified Retirement Plan Supplement
• Capital Accumulation Plan (for Vice Presidents and above)