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Contract Machine Learning Data Scientist Jobs in Arizona

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical ... Furthermore, they do not establish a contract for employment and are subject to change at the ...

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical ... Furthermore, they do not establish a contract for employment and are subject to change at the ...

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical ... Furthermore, they do not establish a contract for employment and are subject to change at the ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ...

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Development, Machine Learning & Maintenance (30%) * Train and Test Supervised and Unsupervised ...

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Development, Machine Learning & Maintenance (30%) * Train and Test Supervised and Unsupervised ...

The Data Scientist will play a crucial role in developing advanced analytics and machine learning solutions to enhance supply chain efficiency and operational performance. Responsibilities : • ...

... Machine Learning, AI, OperationsResearch, Economics/Econometrics, etc.) * Experience with B2B or ecommerce pricing, such as quote optimization, contract pricing, or price-listmanagement in a ...

... Machine Learning, AI, OperationsResearch, Economics/Econometrics, etc.) * Experience with B2B or ecommerce pricing, such as quote optimization, contract pricing, or price-listmanagement in a ...

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Contract Machine Learning Data Scientist information

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

What are the key skills and qualifications needed to thrive as a Contract Machine Learning Data Scientist, and why are they important?

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

What is the difference between Contract Machine Learning Data Scientist vs Contract Data Scientist?

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What is a Contract Machine Learning Data Scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.
What are popular job titles related to Contract Machine Learning Data Scientist jobs in Arizona? For Contract Machine Learning Data Scientist jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Contract Machine Learning Data Scientist jobs? Cities in Arizona with the most Contract Machine Learning Data Scientist job openings:
Infographic showing various Contract Machine Learning Data Scientist job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 17% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.
Data Scientist

Data Scientist

Koantek

Chandler, AZ • On-site

Contractor

Re-posted 25 days ago


Job description


Job Title: Data Scientist / Senior Data Scientist
Job Description:
We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have hands-on expertise in developing AI-driven solutions, building predictive models, and deploying scalable machine learning applications into production environments.
Key Responsibilities:
  • Design, develop, and implement Generative AI solutions including chatbots and AI assistants.
  • Work with frameworks such as LangChain and related LLM orchestration tools.
  • Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting.
  • Develop end-to-end ML pipelines and support deployment of models into production environments.
  • Collaborate with cross-functional teams to identify business problems and translate them into scalable AI/ML solutions.
  • Monitor, maintain, and improve model performance and reliability.
  • Work with structured and unstructured datasets to derive actionable insights.

Required Skills:
  • Strong experience in Generative AI and Large Language Model (LLM) applications.
  • Hands-on experience with LangChain or similar AI orchestration frameworks.
  • Solid understanding of Machine Learning concepts including:
    • Predictive Modeling
    • Classification
    • Regression
    • Time Series Analysis
  • Experience with ML Ops practices and deploying machine learning models into production.
  • Proficiency in Python and common data science libraries/frameworks.
  • Experience with cloud platforms and modern AI/ML toolsets.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:
  • Experience with Databricks is a plus.
  • Familiarity with cloud-based AI/ML environments.
  • Experience working in enterprise-scale AI initiatives.

Experience Required:
  • 5+ years of experience in Data Science, Machine Learning, or AI-related roles.