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Remote Senior Data Scientist Jobs in Arizona (NOW HIRING)

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Data Scientist

Tucson, AZ · On-site +1

$50K - $100K/yr

The incumbent will serve as a Data Scientist, responsible for utilizing scientific methodologies, processes, algorithms, and systems to extract insights from structured and unstructured data and to ...

Data Scientist

Tucson, AZ · On-site +1

$74K - $172K/yr

The incumbent will serve as a Data Scientist, responsible for utilizing scientific methodologies ... senior management. Experience refers to paid and unpaid experience, including volunteer work done ...

Senior Data Engineer

Phoenix, AZ · Remote

$120K - $135K/yr

Senior Data Engineer - Revenue Cycle Management 100% Remote | U.S.-Based | Healthcare Data ... Bachelor's degree in Computer Science, Information Systems, Healthcare Administration, Business ...

Senior Data Analyst

Phoenix, AZ · Remote

$6.9K - $8.0K/mo

Extremely High Summary The Senior Data Analyst will work as part of the Data Services & Business ... Bachelor's Degree is required with a concentration in a data-related field such as Computer Science ...

(USA) Senior, Data Analyst

Buckeye, AZ · On-site +1

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

About the Role This is a senior, hands-on role covering email, lifecycle, product, and promotional ... Strong analytical skills and the habit of letting data drive decisions. * Excellent written and ...

... usage data, cost modeling, and risk assessment to the table. * Identify consolidation ... Remote work and more! About STC Health: STChealth, founded in 1988, is dedicated to eradicating ...

Remote Senior Marketing Specialist

Scottsdale, AZ · Remote

$78K - $97K/yr

About the Role This is a senior, hands-on email and lifecycle marketing role on the arrivia ... Strong analytical skills and the habit of letting data drive decisions. * Excellent written and ...

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Remote Senior Data Scientist information

What is a remote senior data scientist?

A Remote Senior Data Scientist is an experienced professional who analyzes and interprets complex data to help organizations make data-driven decisions, while working from a location outside the traditional office setting. They typically lead projects, design data models, and develop machine learning algorithms, often collaborating with cross-functional teams virtually. Their role requires advanced statistical, programming, and communication skills, as well as the ability to work independently and manage tasks remotely. Senior Data Scientists also mentor junior team members and contribute to strategic decision-making.

What are the key skills and qualifications needed to thrive as a remote senior data scientist?

To thrive as a Remote Senior Data Scientist, you need advanced expertise in statistics, machine learning, programming (Python, R), and a strong background in mathematics or related fields, usually supported by a master's or PhD. Experience with tools like TensorFlow, PyTorch, SQL, cloud platforms (AWS, GCP), and relevant data science certifications is highly valuable. Exceptional problem-solving, communication, and self-management skills help you stand out, especially when collaborating remotely with cross-functional teams. These skills ensure you can independently drive impactful data-driven solutions and effectively communicate insights in a distributed work environment.

How do remote senior data scientists typically collaborate with cross-functional teams to deliver impactful results?

Remote Senior Data Scientists frequently collaborate with cross-functional teams by leveraging digital communication tools such as Slack, Zoom, and shared project management platforms. They work closely with product managers, engineers, and business analysts to define project goals, share data insights, and iterate on models. Regular virtual meetings, clear documentation, and asynchronous updates are key to ensuring alignment and effective teamwork. This collaborative approach helps bridge the gap between data-driven insights and business objectives, making the role both challenging and rewarding.

What are the most commonly searched types of Senior Data Scientist jobs in Arizona?

The most popular types of Senior Data Scientist jobs in Arizona are:

What are popular job titles related to Remote Senior Data Scientist jobs in Arizona?

For Remote Senior Data Scientist jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Remote Senior Data Scientist jobs?

Cities in Arizona with the most Remote Senior Data Scientist job openings:

Infographic showing various Remote Senior Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% Remote job distribution.

Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • Remote

Contractor

Re-posted yesterday


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.