Quality Data Scientist I - Medical Devices

Abbott (abbottcareers2 board); United States; On-site; USD 90,000 - 150,000; Full time

Job summary

Abbott in Sylmar, CA is seeking an experienced Data Scientist I to drive data-driven decisions for cardiovascular and life sciences initiatives. You will develop predictive models and analyze large data sets to inform clinical and business strategies.

You will communicate insights to site and executive management, collaborating with engineers and quality teams to ensure accurate, compliant analyses and robust data governance. This role offers growth in a global healthcare company.

Qualifications

• Bachelor's degree in Engineering, Life Sciences, or Physical Sciences or equivalent
• Minimum 1 year of experience
• 1–2 years in pacing industry desirable
• Strong written and verbal communication
• Ability to coordinate multiple assignments
• Proficient in Office applications and data tools

Responsibilities

• Perform quantitative analysis and data management
• Collect, clean, analyze, predict, and communicate data
• Develop analysis plans to answer business questions
• Apply ML algorithms and stats such as regression and forecasting
• Present insights to site and executive management
• Collaborate with cross-functional teams to validate data models
• Refine analyses with domain knowledge
• Identify opportunities to improve data systems and processes
• Lead small projects and assist audits

Skills

Data analysis

Communication

Analytical skills

Presentation

Cross-functional teamwork

Education

Bachelor's degree in Engineering, Life Sciences, or Physical Sciences

Tools

Microsoft Office

Job description

Abbott in Sylmar, CA is seeking an experienced Data Scientist I to drive data-driven decisions for cardiovascular and life sciences initiatives. You will develop predictive models and analyze large data sets to inform clinical and business strategies.

You will communicate insights to site and executive management, collaborating with engineers and quality teams to ensure accurate, compliant analyses and robust data governance. This role offers growth in a global healthcare company.