Development Quality Engineer I

Overview

Data Scientist I role in Quality for Abbott's Cardiac Rhythm Management division, responsible for ensuring requirements for Device/Combination Products through execution of Abbott standard operating procedures and Product Lifecycle Management.

What you'll do

• Collect, clean, analyze, predict and effectively communicate information using technologies.
• Examine and interpret relevant data to develop an analysis plan that answers key business questions and creates value for the organization.
• Apply machine learning algorithms and advanced statistics such as regression, time-series forecasting, clustering, decision trees, exploratory data analysis, simulation, scenario analysis, modeling and optimization.
• Analyze data, draw insights, and present results in a cohesive, intuitive and simplistic manner to site and executive management.
• Work with cross-functional teams to devise test methodologies ensuring validity of the data models presented.
• Work closely with the business to understand the domain and iteratively refine analyses.
• Identify opportunities to improve the efficiency and effectiveness of the systems and processes examined, including process improvement and reengineering projects.
• Identify and implement continuous improvement opportunities throughout the data lifecycle.
• Act as Subject Matter Expert in cross-functional team meetings and internal and external audits.
• Ensure compliance with associated regulations, standards and site procedures.
• Demonstrate basic project management skills by acting as project lead on small, well-defined projects.
• Exert influence at peer level and occasionally at first levels of management.

What you'll need

• Bachelor's Degree (approximately 16 years) in Engineering, Life Sciences, or Physical Sciences OR an equivalent combination of education and work experience.
• Minimum 1 year of experience; 1-2 years of experience in the pacing industry.
• 0-2 years of experience in Quality Assurance, Technical Quality, or equivalent.
• Some knowledge of Design Controls, V&V activities, manufacturing practices or processes, and statistical techniques.
• Drive to learn applicable regulations and standards such as FDA, QSR and ISO regulations.
• Demonstrated written and verbal communication, interpersonal, presentation, analytical and organizational skills, and the ability to meet deadlines.
• Ability to work effectively with engineers, technical specialists, vendors and customers and to coordinate multiple assignments simultaneously.
• Demonstrated personal computer skills, with experience in Microsoft Office or equivalent required, for graphics, word-processing, databases and authoring programs.
• Ability to work in a highly matrixed and geographically diverse business environment.
• Ability to work within a team and as an individual contributor in a fast-paced, changing environment.
• Strong analytical skills, problem-solving techniques and statistical application experience.
• Strong attention to detail, follow-up and organizational skills; multitasks, prioritizes and meets deadlines.
• Ability to travel.

Nice to have

• Bachelor's Degree focused in Data Analytics, Data Science or a similar discipline including Engineering, Mathematics, Computer Science, Statistics or Physics.
• 1-2 years of related work experience with a good understanding of the specified functional area.
• Quality experience.
• Experience working in life sciences or healthcare industry.
• Experience working in a broader enterprise/cross-division business unit model.
• Working experience with database applications including programming experience (e.g. SQL, Python, R, Java, Scala, C++ in Linux/Unix and/or equivalent).
• Experience implementing process improvements and efficiencies.
• Strong Excel skills.
• Excellent verbal and written communication skills to explain data analysis findings.
• Self-starter who can plan their own work to meet deadlines, with strong interpersonal skills, self-motivation, a strong desire to learn, and adaptability to a fast-paced, ever-changing environment.

Details

• Location: United States > Sylmar, 15900 Valley View Court.
• Work shift: Standard.
• Travel: Yes, 5% of the time.
• Significant work activities: continuous sitting for more than 2 consecutive hours in an 8-hour day; keyboard use for 50% or more of the workday.