Data Scientist; Medical Device in Concord

Senior Data Scientist
- Medical Device (Post-Market & Risk Analytics)

Beacon Hill was founded to set a new standard in search, career placement and flexible staffing.

Position Overview:

We are seeking an experienced Senior Data Scientist to support advanced analytics initiatives across post-market surveillance, manufacturing, supplier quality, and product design within a regulated medical device environment. This role focuses on identifying systemic failure patterns, conducting root cause analysis, and delivering data-driven insights to improve product reliability and reduce operational risk.

Key Responsibilities:

• Analyze and correlate post-market data (e.g., complaints, product usage, field performance) with:
  • Manufacturing processes
  • Supplier quality metrics
  • Product design factors
• Identify failure trends and translate findings into actionable recommendations
• Lead end-to-end root cause analysis using both structured and unstructured data
• Develop and apply machine learning and statistical models to detect patterns and risks
• Work with unstructured data (e.g., text, product usage, or behavioral data) to extract insights
• Deliver proactive analytics to support:
  • Risk detection
  • Product quality improvements
  • Operational decision-making
• Partner closely with cross-functional teams including engineering, quality, manufacturing, and business stakeholders
• Support audit readiness and data-driven regulatory initiatives

Required Qualifications:

• 7+ years of experience in data science, machine learning, or advanced analytics
• 3+ years of experience within medical device or regulated manufacturing environments (non-clinical; must be product, quality, or post-market focused)
• Strong understanding of quality systems, regulatory expectations, or post-market processes

Core Technical

Skills:

• Advanced Statistics
  • Statistical modeling, hypothesis testing, experimental design
• Machine Learning / Analytics
  • Predictive modeling, clustering, classification
• Data Platforms
  • Experience working in Databricks or similar big data environments
  • Strong SQL and data processing skills (Spark/PySpark preferred)
• Data Handling
  • Experience working with large-scale and unstructured datasets

Domain Experience (Required
- Medical Device):

• Post-market surveillance and complaint data analysis
• Root cause investigation and failure analysis
• Product quality and design-related analytics
• Operational risk analysis and trend identification

Nice to Have:

• Experience with SAP or manufacturing/quality data systems
• Exposure to supplier quality or production data
• Experience with NLP or text analytics

Beacon Hill is an equal opportunity employer and individuals with disabilities and/or protected veterans are encouraged to apply.

California residents:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.