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Remote Azure Data Scientist Jobs in Arizona (NOW HIRING)

Insight

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... S. in Computer Science, Data Science, MBA, or equivalent practical experience in the field. What ...

micro1 AI

AI Training Specialist - Life Sciences

Yuma, AZ · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

micro1 AI

AI Training Specialist - Life Sciences

Mesa, AZ · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead ... Azure ML, or Fabric ML. · Practical experience managing HIPAA compliance, PHI handling, auditing ...

Arsenault Inc

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

EDUCATION And EXPERIENCE Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling ...

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Remote Azure Data Scientist information

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

To excel as a Remote Azure Data Scientist, you need expertise in data analysis, machine learning, statistics, and a strong foundation in computer science, often supported by a degree in a relevant field. Familiarity with Azure Machine Learning, Power BI, Python, and data engineering tools, as well as certifications like Microsoft Certified: Azure Data Scientist Associate, are typically required. Outstanding problem-solving abilities, communication skills, and self-motivation are essential soft skills for collaborating remotely and translating insights into business solutions. These skills ensure you can build effective models, leverage Azure's cloud capabilities, and deliver data-driven results in distributed work environments.

What is a remote Azure data scientist?

A Remote Azure Data Scientist is a professional who leverages Microsoft Azure’s cloud-based tools and services to analyze data, build machine learning models, and derive insights, all while working from a remote location. They use Azure Machine Learning, Data Lake, Databricks, and other Azure services to manage large datasets, perform predictive analytics, and deploy data-driven solutions. Their work enables organizations to make informed decisions, automate processes, and improve business outcomes without the need for on-site presence.

What is the difference between Remote Azure Data Scientist vs Remote Data Analyst?

AspectRemote Azure Data ScientistRemote Data Analyst
Required CredentialsAzure certifications, data science degrees, programming skillsData analysis certifications, SQL, Excel, basic programming
Work EnvironmentCloud platforms, machine learning models, Azure toolsData visualization, reporting, data querying
Employer & Industry UsageTech, finance, healthcare using Azure cloud servicesBusiness, marketing, finance for data reporting
Common Search & ComparisonYesYes

The Remote Azure Data Scientist focuses on building machine learning models and leveraging Azure cloud services, requiring advanced data science skills and Azure certifications. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and visualizations, often with less emphasis on cloud platforms. Both roles are vital in data-driven industries but differ in technical complexity and tools used.

How does a remote Azure data scientist typically collaborate with distributed teams and stakeholders?

As a Remote Azure Data Scientist, collaboration is often facilitated through cloud-based tools, virtual meetings, and shared workspaces like Microsoft Teams and Azure DevOps. You’ll regularly interact with data engineers, software developers, and business analysts to align on data requirements, model deployment, and project goals. Clear communication and documentation are essential, as team members may be in different time zones or departments. Regular sync-ups, agile ceremonies, and shared dashboards help keep everyone on track and ensure that insights are effectively translated into business value.
What are the most commonly searched types of Azure Data Scientist jobs in Arizona? The most popular types of Azure Data Scientist jobs in Arizona are:
What are popular job titles related to Remote Azure Data Scientist jobs in Arizona? For Remote Azure Data Scientist jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Scientist jobs in Arizona look for? The top searched job categories for Remote Azure Data Scientist jobs in Arizona are:
What cities in Arizona are hiring for Remote Azure Data Scientist jobs? Cities in Arizona with the most Remote Azure Data Scientist job openings:
Remote Azure Data Scientist jobs near you

Agentic Workplace GTM Lead

Insight

On-site, Remote

Full-time

Re-posted 20 days ago

Job description

Requisition Number: 104644
AI GTM Specialist
Location: You will have the flexibility to work fully remote from anywhere across Arizona.
Insight at a Glance
  • 14,000+ engaged teammates globally
  • $8.2 billion in revenue in 2025
  • Certified as a Great Place to work in 9 Countries in 2025
  • Fortune 500 Company (No. 447) in 2025
  • Received 25+ industry and partner awards in the past year
  • $1.4M+ total charitable contributions in 2024 by Insight globally

Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions.
About the role
Role Overview
As the AI GTM Specialist, Data & Analytics you will be the primary catalyst for driving Insight's Google Solution Line Data and Generative AI business through our partnership with Google Cloud. You aren't just selling a platform; you are architecting the future of enterprise intelligence.
You will work hand-in-hand with Insight's sales account executives to hunt for new opportunities, design cutting-edge AI solutions, and demystify the power of Gemini and Vertex AI for C-suite stakeholders. Your mission is to turn abstract AI potential into concrete, revenue-generating reality.
Key Responsibilities
  • Sales Enablement & Execution: Partner with Insight sales teams to identify and qualify high-value Data/AI opportunities within their existing customer base.
  • Solution Architecting: Lead discovery workshops to design end-to-end data strategies, focusing on platforms like BigQuery for data warehousing and Vertex AI for model orchestration, and their integration into Gemini Enterprise.
  • GenAI Evangelism: Act as the subject matter expert on Gemini and Large Language Models (LLMs), helping customers move from "AI-curious" to "AI-first" through tailored Proofs of Concept (PoCs).
  • GTM Strategy: Develop and execute a joint go-to-market plan with Insight field sales, including webinars, executive briefings, and industry-specific solution plays.
  • Technical Bridge: Serve as the liaison between Insight's technical delivery teams and Google Cloud's internal product engineering teams to ensure customer requirements are met.

Core Competencies
Area
Focus
Generative AI
Deep understanding of LLMs, Prompt Engineering, RAG (Retrieval-Augmented Generation), and fine-tuning models within Vertex AI.
Data Analytics
Expertise in modernizing legacy data stacks into BigQuery, including Looker integration and data governance.
Strategic Selling
Ability to navigate "Value-Based Selling" rather than just feature-dumping; focusing on ROI and business outcomes.
Partner Ecosystem
Understanding the nuances of working with a Global Systems Integrator (GSI) like Insight to drive "co-sell" motions.
Qualifications
  • Experience: 10+ years of professional experience in technical sales, solution architecture, or digital transformation consulting.
  • Domain Expertise: At least 5 years specifically focused on Data Engineering, Analytics, or Machine Learning.
  • Cloud Fluency: Proven track record with Google Cloud Platform (GCP) is highly preferred. Experience with AWS or Azure is a plus, provided there is a willingness to master the Google stack immediately.
  • The "Human" Factor: Exceptional presentation skills. You can explain the difference between a vector database and a standard table to a CEO without making their eyes glaze over.
  • Education: B.S. in Computer Science, Data Science, MBA, or equivalent practical experience in the field.

What Success Looks Like in Year 1
  1. Pipeline Growth: Scaling the Insight-led Data & AI pipeline by 30% through proactive engagement.
  2. Strategic Wins: Closing at least 3 "lighthouse" GenAI projects using Gemini that serve as case studies for the partnership.
  3. Certification: Becoming a Google Cloud Certified Professional Data Engineer or Machine Learning Engineer (if not already held).

Why This Role?
This is a rare opportunity to represent Google Cloud's most advanced technology while leveraging the massive market reach of Insight. You will have a front-row seat to the AI revolution, with the resources of a tech giant and the agility of a specialized sales team.
Note to Candidates: We aren't looking for someone to just read slides. We want a builder, a closer, and a visionary who understands that data is the fuel, but AI is the engine.
Join us today, your ambITious journey starts here.
Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
At Insight, we celebrate diversity of skills and experience so even if you don't feel like your skills are a perfect match - we still want to hear from you!
Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.
Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.
Posting Notes: Chandler || Arizona (US-AZ) || United States (US) || IT Infrastructure & Support || None || US - Chandler,AZ ||

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