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Internship Machine Learning Startup Jobs in Arizona

... predictive and machine learning models. The Data Scientist III communicates technical and ... Startup mindset * Proficiency with Excel and PowerBI * Experience with commercial analytics ...

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... machine learning, and other advanced analytics methods to support the growing demand for data ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or ... intelligence and machine learning concepts. Preferred Qualifications: One or more years of ...

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... Airspace has been rated one of America's best Startup Employers, listed as one of CNBC's Disruptor ...

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Internship Machine Learning Startup information

What is the difference between Internship Machine Learning Startup vs Data Science Intern?

AspectInternship Machine Learning StartupData Science Intern
Required CredentialsBasic programming, statistics, coursework in MLSimilar; often includes coursework in data analysis and statistics
Work EnvironmentFast-paced startup, collaborative teamsVaries; startups or corporate settings, collaborative
Industry UsageCommon in tech startups focusing on AI/ML productsWidespread across tech, finance, healthcare
Search & Comparison IntentInterested in ML-specific roles in startupsLooking for data analysis or data science internships

Internship Machine Learning Startup roles focus on applying ML techniques in startup environments, often requiring programming and statistical skills. Data Science Internships may encompass broader data analysis tasks across various industries. Both roles share similar credentials and work environments, but ML internships are more specialized in machine learning applications within startups.

What are the most commonly searched types of Machine Learning Startup jobs in Arizona? The most popular types of Machine Learning Startup jobs in Arizona are:
What cities in Arizona are hiring for Internship Machine Learning Startup jobs? Cities in Arizona with the most Internship Machine Learning Startup job openings:
Data Scientist

Data Scientist

Mondo

Phoenix, AZ

$136K - $164K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

Job Title: Data Scientist III (Generative AI)
Location: Phoenix, AZ
Start Date: ASAP
Duration: Permanent
Compensation: $136,900 - $164,300
Benefits: Eligible for Health, Dental, Vision, 401K, PTO
Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description:
Our client is seeking a Data Scientist III specializing in Generative AI and agentic architectures, with proven experience building and scaling end-to-end RAG solutions and autonomous AI agents while embedding Responsible AI practices across model development, deployment, and governance. This role drives internal data analytics projects ranging from short data explorations to long-term implementations of advanced predictive and machine learning models. The Data Scientist III communicates technical and analytical concepts across all levels of the organization and influences the roadmap through data-based recommendations. You will join a growing team of data scientists and help shape how AI is built and deployed across the business.

Day-to-Day Responsibilities:

  • Build robust Agentic AI and RAG applications using Responsible AI practices across model development, deployment, and governance
  • Participate in the end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking
  • Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess impact and extract trends across functional areas
  • Build statistical models to enhance understanding of trends and predict future performance
  • Design experiments and interpret results to draw detailed, actionable conclusions
  • Design, validate, and evaluate solutions using Python, SQL, and other programming tools
  • Transform data into actionable insights and recommendations, and support standard analyses, reports, and dashboards
  • Collaborate with stakeholders and other teams to gather data, build relationships, and champion ML capabilities for non-technical audiences
  • Educate and mentor team members on data science best practices, statistical programming, and data preparation

Minimum Requirements:

  • 5 years of experience as a Data Scientist working with large databases to perform complex analysis
  • Master's degree in a STEM field
  • Strong MLOps background - big focus, including carrying models through the full development cycle into live production
  • Must currently reside within commuting distance to Phoenix, AZ
  • 5 years of Python
  • 5 years of SQL
  • Git experience
  • Experience building and deploying ML/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment
  • Strong statistical modeling skills (multivariate regression, logistic regression, cluster analysis, design of experiments, decision trees)
  • Strong communication skills and experience working directly with stakeholders
  • Hands-on AI experience (at minimum, active personal use)
Preferred Qualifications:
  • Snowflake
  • AWS
  • Startup mindset
  • Proficiency with Excel and PowerBI
  • Experience with commercial analytics (pricing optimization, customer segmentation, churn/LTV) or operational analytics (logistics, route optimization, maintenance optimization)