2

Remote Scientific Computing Jobs in Arizona (NOW HIRING)

Patent Agent

Phoenix, AZ · Remote

$100K - $170K/yr

Bachelor's degree in Chemical Engineering, Computer Science, Computer or Electrical Engineering ... Artificial Intelligence or Quantum Computing experience a plus. The above is intended to describe ...

Patent Agent

Phoenix, AZ · Remote

$100K - $170K/yr

Bachelor's degree in Chemical Engineering, Computer Science, Computer or Electrical Engineering ... Artificial Intelligence or Quantum Computing experience a plus. The above is intended to describe ...

Senior Digital Engineer

Chandler, AZ · On-site +1

$133K/yr

... Computer Engineering, Computer Science, or a related discipline. * Fluent in Verilog ... Our people-first culture and global support system, including the remote work option and Employee ...

Senior Digital Engineer

Chandler, AZ · On-site +1

$133K/yr

... Computer Engineering, Computer Science, or a related discipline. * Fluent in Verilog ... Our people-first culture and global support system, including the remote work option and Employee ...

Remote Scientific Computing information

Is remote scientific computing in demand?

Remote scientific computing is in high demand due to the increasing reliance on data analysis, modeling, and simulation across industries such as healthcare, energy, and research. Professionals with skills in programming, data management, and tools like Python, R, or MATLAB are sought after, especially in organizations supporting remote work environments.

What is the difference between Remote Scientific Computing vs Remote Data Analysis?

AspectRemote Scientific ComputingRemote Data Analysis
Required CredentialsTypically requires degrees in science, engineering, or computer science; knowledge of programming and simulation toolsOften requires degrees in statistics, data science, or related fields; proficiency in data manipulation and visualization
Work EnvironmentResearch labs, academic institutions, or corporate R&D; often involves high-performance computingBusiness, finance, healthcare sectors; primarily involves analyzing datasets and generating reports
Employer & Industry UsageResearch institutions, tech companies, scientific organizationsFinancial firms, healthcare providers, marketing agencies

Remote Scientific Computing focuses on developing and running simulations, models, and scientific computations, often requiring specialized software and high-performance hardware. Remote Data Analysis centers on interpreting datasets, creating visualizations, and deriving insights, typically using statistical tools. While both roles involve data and programming, their core tasks and industries differ significantly.

What cities in Arizona are hiring for Remote Scientific Computing jobs? Cities in Arizona with the most Remote Scientific Computing job openings:
Infographic showing various Remote Scientific Computing job openings in Arizona as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution.

Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • Remote

Contractor

Re-posted 17 days ago


Job description

Senior AI Engineer / Data Scientist (Consulting) Location: United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the Role: We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.

Key Responsibilities: * Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. * MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. * GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.

* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. * Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences. Required Qualifications: * 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).

* 3+ years of experience in a customer-facing consulting or Solutions Architect role. * Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). * Solid hands-on experience with containerization (Docker) and data pipeline orchestration.

* Proven track record of deploying Generative AI and NLP solutions for client applications. * Excellent verbal and written communication skills. Preferred Qualifications: * Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.

* Deep knowledge of large-scale data processing and distributed machine learning techniques. * A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.