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Computer Science Economics Jobs in Irvine, CA (NOW HIRING)

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote) Contract Type: Contract to Hire Project Overview: The Sr.

What You Get Out of the Internship At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won't

What You Get Out of the Internship At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won't

Showing results 21-40

Computer Science Economics information

See Irvine, CA salary details

$11.8K

$105.2K

$172.3K

How much do computer science economics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for computer science economics in Irvine, CA is $105,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $23,600.00 and $171,700.00 per year, depending on experience, location, and employer.

What is a computer science economics?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

What does a computer science economics do?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

What skills and qualifications are needed for a computer science economics?

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

Is computer science and economics a good combination?

Computer Science Economics combines technical programming skills with economic analysis, making it valuable for roles in data analysis, financial modeling, and technology-driven economic research. Professionals in this field often use programming languages like Python or R and may pursue certifications in data science or economics to enhance their expertise.

What are the top 3 highest paying jobs in computer science?

In computer science, the highest paying roles typically include software engineering managers, data scientists, and solutions architects. These positions often require advanced technical skills, experience, and sometimes certifications, and they tend to offer salaries significantly above the industry average.

What can you do with a computer science and economics degree?

A computer science and economics degree prepares individuals for roles such as data analyst, financial analyst, software developer, or economic consultant. These roles often require skills in programming, data analysis, and understanding economic principles, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and consulting.

What cities near Irvine, CA are hiring for Computer Science Economics jobs?

Cities near Irvine, CA with the most Computer Science Economics job openings:

Infographic showing various Computer Science Economics job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $105,192 per year, or $50.6 per hour.

Health Plan Data Scientist

Scan-Health-Plan

Long Beach, CA โ€ข On-site

$125 - $150/hr

Other

Medical, Retirement, PTO

Posted 11 days ago


Job description

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the โ€œ12 Angry Seniors.โ€ Their mission continues to guide everything we do.Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.At SCAN, we believe scale should strengthenโ€”not diluteโ€”our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.The JobThis role will be a key member of SCAN's Medical Economics Analytics team, responsible for identifying, quantifying, and helping capture total cost of care (TCOC) savings opportunities across the health plan's core medical cost management levers: clinical programs, utilization management (UM) and medical policy, payment integrity, network and contracting, benefit design, coordination of benefits (COB), and supplemental programs. The role combines strong health plan operations knowledge with data science methods and AI-enabled analytics tooling (GenAI, agentic workflows) to surface and size opportunities from claims, clinical, and contract data.This role will collaborate with clinical, network, payment integrity, and finance stakeholders to convert analytic findings into total cost of care strategy, in support of SCAN's mission of keeping seniors healthy and independent.You Will1. Apply data science and analytical methods (such as segmentation, trend analysis, statistical modeling, and GenAI-enabled synthesis) to claims, clinical, and contract data to identify, size, and prioritize total cost of care (TCOC) savings opportunities across SCAN's core medical cost management levers. Illustrative examples could include:Utilization management (UM) and medical policy: evaluating program effectiveness, medical policy application and exception patterns, and utilization outliersPayment integrity: identifying claims coding, billing, and payment accuracy opportunities (e.g., DRG validation, upcoding, duplicate payment, coordination of benefits recovery)Network and contracting: analyzing unit cost, provider relativity, and site-of-service shift to inform contracting strategyBenefit design and coordination of benefits (COB): evaluating benefit changes and COB recovery opportunities for cost and member impactSupplemental programs: assessing utilization, cost, and return on investmentClinical programs: building segmentation and predictive models to prioritize cost management interventionsAI-enabled synthesis: applying GenAI and agentic AI tools to synthesize claims, clinical, and contract data and accelerate opportunity identification2. Leverage strong health plan operations knowledge and business acumen to identify and prioritize total cost of care opportunities based on SCANโ€™s highest-value medical cost management levers3. Create requirements, test and validate analyses, communicate findings and savings opportunity sizing to Medical Economics, Finance, Network, and Clinical business partners, and support opportunity tracking through implementation.4. Help shape and implement SCANโ€™s medical economics analytics and AI strategy in coordination with key stakeholders across the company. Manage multiple projects at a time based on the priorities and delivery methodologies of the Medical Economics Analytics team, while also being a mentor to other analytics practitioners.Your QualificationsBachelors Degree in statistics, mathematics, computer science, or related field requiredGraduate or Advanced Degree in statistics, mathematics, computer science, or related field required3+ years working experience, preferably including healthcare industry experience3+ years applying data science and analytical methods (e.g., statistical modeling, segmentation, trend analysis, machine learning, GenAI/agentic AI) to identify and quantify business or medical cost opportunities1+ years of experience writing SQL code in relational database environment2+ years of experience writing code in Python and/or RExperience with Snowflake and/or Databricks as well as Power BI.Experience with Streamlit or other data as a service apps, preferredWorking knowledge of GenAI/LLM tools for synthesizing structured and unstructured health plan data (claims, clinical notes, contracts), preferredExperience in a Medicare Advantage or other managed care environment, preferred.Clinical code knowledge related to claims/utilization, preferred.Experience identifying and quantifying medical cost management opportunities across levers such as utilization management, medical policy, payment integrity, network/contracting, benefit design, coordination of benefits, and supplemental programs, preferred.Familiarity with payment integrity concepts (DRG validation, claims editing, coordination of benefits recovery, billing/coding accuracy), preferred.Understanding of claims and encounter data structures (837/835, UB-04, CMS-1500, DRG, revenue codes, ICD-10, CPT/HCPCS), preferred.Familiarity with core managed care economics (PMPM, MLR, IBNR) and total cost of care trend decomposition, preferred.Working knowledge of Medicare Advantage risk adjustment (HCC/RAF methodology), preferred.Expertise in Snowflake and Databricks for ML/AI workloads, including optimization and governance.Hands-on experience with LLM development (RAG, embeddings/vector databases, document summarization, chatbot/agent integration using LangChain / LangGraph or similar tools).Familiarity with BI tools (Power BI, Tableau, Streamlit) and integrating ML outputs for business facing solutions.Strong interpersonal skills, including excellent written and verbal communication skills.Familarity with MLOps practices, including MLflow, Azure DevOps, monitoring, and alerting.Ability to appropriately maintain confidentiality.Familiarity with Agile delivery methodologies (e.g. Scrum, SAFe)Working knowledge of health plan data domains (claims, encounters, eligibility, provider, authorizations, contracts) supporting total cost of care analytics.Fluency in managed care economics and coding conventions (PMPM, MLR, DRG, HCC/RAF) sufficient to translate model output into financial impact.Ability to translate medical cost management levers (UM, medical policy, payment integrity, network, benefit design, COB, supplemental programs) into analytic requirements and opportunity sizing frameworks.Excellent written and verbal communication skills, with ability to explain AI/ML concepts to business and technical audiences.Connects technical work to strategic health plan objectives, particularly total cost of care management across clinical, payment integrity, network, benefit design, and supplemental program leversLearns emerging AI/ML tools and healthcare regulations quickly and applies them responsibly in production environmentsKnowledge of real-world data (RWD), claims, EMR, and similar healthcare data; working fluency in health plan cost management concepts (PMPM, DRG, HCC/RAF risk adjustment, payment integrity, coordination of benefits) preferredWhat's in it for you?Base Pay Range: $106,200 to $182,983 annuallyAn annual employee bonus programRobust Wellness ProgramGenerous paid-time-off (PTO)11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer daysExcellent 401(k) Retirement Saving Plan with employer matchRobust employee recognition programTuition reimbursementAn opportunity to become part of a team that makes a difference to our members and our community every day!We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.#LI-JB1 #LI-RemoteEqual Opportunity Employer/Protected Veterans/Individuals with DisabilitiesThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractorโ€™s legal duty to furnish information. 41 CFR 60-1.35(c) #J-18808-Ljbffr