Long Beach, CA

Data Jobs in Long Beach, CA

2 jobs found

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30d ago

Data Analyst - Health, Senior

Blue Shield of California Long Beach, CA

Long Beach, CA

30d ago Closed

$91k - $136k/yr Full time Senior Analytics Business Analytics

This position is no longer accepting applications (closed Sep 22, 2026).

Job Description

The Data Analyst, Senior role supports provider contract negotiations and competitive intelligence by assessing health, performance, and strategic positioning of contracted entities. This position focuses on analytics that inform network planning and contract strategy, including reporting, dashboard management, and investigation of key trends and anomalies.

Key Responsibilities

Develop and conduct evaluations and studies within limited time frames, producing analyses that are clear for non-technical audiences.
Assist in identifying systems and operational problems and recommend solutions to streamline procedures for more effective reporting.
Work with internal and external customers to define complex reporting needs, including specifications, and design and implement complex report programming accordingly.
Present analytics, reports, and presentations effectively to internal and external customers to support business continuity and decision making.
Participate in internal and external task forces and committees, contributing analytical insights for implementation of new programs, applications, products, and services and enhancements to existing systems.
Create dossiers for provider negotiations, including analyses of financial, regulatory, and quality performance.
Lead and manage projects that may require coordinating a team and working with multiple stakeholders.
Manage reporting and dashboards supporting SVP network planning, including data validation, testing, and documentation.
Identify and implement opportunities for process improvement and automation.
Complete Ad Hoc assignments as requested.

Required and Preferred Qualifications

Requires a Bachelor’s degree or High School Diploma/GED and 4 years of additional relevant experience in lieu of a degree.
Master’s Degree (MPH, MBA, MS, or MA) is preferred.
Requires 5 years of experience in Health Care (managed care, academic, or gov't payer).
Experience with MS Office, especially Excel and Access, Unix, SQL/PL-SQL, and SAS.
SAS Base and advanced certification is preferred.
Familiarity with visualization tools such as Tableau.
Strong analytical and problem-solving skills.
Strong communication (written and verbal) and presentation skills, including prior experience presenting to leaders.
Practical knowledge of project management is preferred.

Technologies

MS Office, Excel, Access
Unix
SQL/PL-SQL
SAS
Tableau

Work Location and Hybrid Schedule

Location: Long Beach, CA (hybrid).
This role requires employees to be in-office based on the hybrid workplace model, balancing purposeful in-person collaboration with flexibility.
For most teams, this means coming into the office two days each week.
Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.

Compensation

USD 90,860 - 136,290 per year.

About Blue Shield of California

As of January 2025, Blue Shield of California became a subsidiary of Ascendiun. Ascendiun is a nonprofit corporate entity that is the parent to a family of organizations including Blue Shield of California and its subsidiary, Blue Shield of California Promise Health Plan; Altais, a clinical services company; and Stellarus, a company designed to scale healthcare solutions. Together, these organizations are referred to as the Ascendiun Family of Companies.

Values

Honest.
Human.
Courageous.

Physical Requirements

Office Environment: roles involving part to full time schedule in Office Environment.
Based in physical offices and work from home office/deskwork: Activity level is sedentary, with frequency most of the work day.

Equal Employment Opportunity

External hires must pass a background check/drug screen.
Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State, and local laws, including but not limited to the San Francisco Fair Chance Ordinance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status, disability status, or any other classification protected by Federal, State, and local laws.

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1mo ago

Forward-deployed AI Engineer

SCAN Group Long Beach, CA

Long Beach, CA

1mo ago Closed

$125k - $216k/yr Full time Backend Developer Agentic Ai Orchestration Ai Agent Platform

This position is no longer accepting applications (closed Sep 20, 2026).

Job Description

Embed with SCAN’s teams as a forward-deployed AI Engineer to uncover measurable AI opportunities and deliver production-grade, AI-enabled systems.

Responsibilities

Embed with SCAN’s teams to understand workflows, operational challenges, and strategic priorities
Lead discovery activities, including stakeholder interviews, workflow observation, process analysis, and opportunity assessment
Translate ambiguous business problems into technical requirements and measurable success criteria
Build trusted relationships with SCAN leaders and act as a strategic technology partner
Design, develop, test, deploy, and support AI-enabled applications using SCAN’s large language models (LLMs), AI agents, and retrieval-augmented generation (RAG)
Apply workflow automation, APIs, and modern software engineering practices to deliver enterprise solutions
Rapidly prototype solutions, validate concepts with users, and iterate based on business feedback
Build production-ready software using SCAN’s enterprise AI platform, including reverse-integration of new capabilities to the core platform
Evaluate emerging AI technologies and recommend approaches aligned to business needs
Translate complex business problems into scalable and maintainable technical architectures
Collaborate with architects, product managers, platform engineers, data engineers, and security teams to deliver enterprise AI solutions
Develop reusable components, patterns, and technical assets to accelerate future AI development
Contribute to engineering standards, best practices, and continuous improvement across the AI organization
Define measurable success metrics for AI solutions and monitor business impact after deployment
Continuously optimize solutions using operational data, user feedback, and changing business needs
Identify additional automation and AI opportunities through ongoing engagement with business partners
Support organizational adoption of AI through education, coaching, and change management
Apply responsible AI practices, including transparency, traceability, explainability, fairness, privacy, and human oversight
Partner with security, compliance, legal, and governance teams to support safe and appropriate AI use
Document solution design, risks, controls, assumptions, and operational considerations for AI systems
Ensure AI solutions comply with organizational standards, regulatory requirements, and security policies

Requirements

Bachelor’s Degree or equivalent experience in Computer science, Engineering, or a related field
Deep applied understanding of LLM-based architectures, RAG, vector embeddings, prompt engineering, and agent orchestration
Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations
Proficiency with Azure AI Services, Azure AI Foundry, and enterprise content management platforms (SharePoint, Microsoft 365, Teams, Confluence)
Strong Python (or equivalent), REST APIs, ML/LLMOps tooling, and frameworks (FastAPI, LangChain, Microsoft Agent Framework, etc.)
Ability to connect business requirements to technical solutions, build reusable components, and improve adoption and operational impact
Collaborative communicator comfortable engaging non-technical stakeholders and cross-functional teams
Curiosity, initiative, and continuous learning mindset; adapts quickly to new frameworks and technologies
Leadership skills, including developing others
Business insight, problem-solving ability, and a strategic mindset to create strategies that sustain competitive advantage
Business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies

Technologies

Python
REST APIs
FastAPI
LangChain
Microsoft Agent Framework
Azure AI Services
Azure AI Foundry
SharePoint
Microsoft 365
Teams
Confluence
LLMs
AI agents
Retrieval-augmented generation (RAG)
Vector embeddings
Prompt engineering
Agent orchestration
ML/LLMOps tooling
Enterprise AI platform

Experience

6+ years of experience (minimum requirement) in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery

Benefits

Base salary range: $125,400 to $215,975 annually
Annual employee bonus program
Robust wellness program
Generous paid-time-off (PTO)
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
Excellent 401(k) retirement saving plan with employer match
Robust employee recognition program
Tuition reimbursement
Opportunity to contribute to a team supporting members and community

Preferred Certifications or Licenses

Microsoft Certified: Azure AI Engineer Associate
Relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development (beneficial)
Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics (advantageous)

Preferred Experience

Extensive 6+ years in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare
Hands-on experience (3+ years) building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions
Proven track record delivering enterprise-scale AI or digital transformation initiatives with cross-functional collaboration (business, healthcare, data, security, compliance, and technology)
Experience building production-grade applications, APIs, data pipelines, automation workflows, or cloud-based AI services
Familiarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms (highly valued)
Strong stakeholder management and communication skills, translating business needs into scalable technical solutions and driving adoption across diverse teams
Healthcare domain expertise, including regulatory and member-focused nuances (plus)

Location: Long Beach, CA (onsite)

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Data Jobs in Long Beach, CA

Data Analyst - Health, Senior

Forward-deployed AI Engineer

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