SCAN Health Plan is actively hiring for 3 AI and machine learning positions across AI/ML Engineer (1), MLOps Engineer (1), and Data Scientist (1) roles. Posted salary ranges span $153K - $254K, with 100% of listings disclosing compensation. The median posted ceiling sits at $254K. Positions are based in Long Beach, CA, US, Lakewood, CA, US. The most frequently requested skills across these postings are RAG, Azure, Python, Embeddings, scikit-learn. Mid-level roles account for 66% of openings.
Skills & Technologies
RAG (3)Azure (2)Python (2)Embeddings (1)scikit-learn (1)AI Agents (1)
Locations
Long Beach, CA, US, Lakewood, CA, US
Hiring by Role Category
Open Positions (3)
AI/ML Engineer
Analytics, Full-Stack Engineer
MLOps Engineer
AI & Cloud Architect
Data Scientist
Director, Medical Economics
Frequently Asked Questions
SCAN Health Plan currently has 3 open AI positions across roles including AI/ML Engineer, MLOps Engineer, Data Scientist. The most common positions involve applied machine learning, model development, and AI infrastructure. Check the job listings above for the latest openings and requirements.
AI roles at SCAN Health Plan range from $153K - $254K based on current job postings. Compensation varies by role type, seniority, and location. Senior and staff-level positions typically fall at the upper end of this range, while mid-level roles cluster near the median. These figures reflect posted salary ranges and may not include equity, bonuses, or signing packages.
The most frequently requested skills in SCAN Health Plan's AI job postings are RAG, Azure, Python, Embeddings, scikit-learn, AI Agents. Python appears in the majority of listings, reflecting its dominance in the ML ecosystem. Candidates with experience in multiple skills from this list are more competitive, as most roles require a combination of programming, framework, and domain expertise.
SCAN Health Plan's AI positions are based in Long Beach, CA, US, Lakewood, CA, US. Location requirements vary by team and role. Some positions may offer hybrid arrangements even if listed as on-site. Check individual job listings for the most current location and remote work policies.
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