1

Temporary Data Scientist Machine Learning Jobs in Phoenix, AZ

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 ...

Data Scientist Experience: 10 Location: Phoenix, AZ Visa: & USC Required Qualifications: * Bachelor ... Hands-on experience building and validating machine learning models using Python. * Strong ...

As a Data Scientist, you will join a highly collaborative team of data scientist, AI engineer, and ... You will develop innovative AI and machine learning solutions that enable smarter decision making ...

Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex ... Requirements: * Bachelor's degree required in Mathematics, Data Science, Computer Science ...

This role requires someone who can work across the complete data science lifecycle--from understanding and validating large-scale datasets to building production-ready machine learning solutions and ...

We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will be a self ... Key Responsibilities: - Design and implement advanced machine learning algorithms for time series ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Machine Learning & Predictive Analytics: * Develop and deploy AI/ML models that power key products ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

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 ...

Develops, evaluates, and refines statistical, machine learning, and AI models using appropriate ... data science workflows. * Experience with common commercial analytics topics (e.g. pricing ...

Develops, evaluates, and refines statistical, machine learning, and AI models using appropriate ... data science workflows. * Experience with common commercial analytics topics (e.g. pricing ...

Develops, evaluates, and refines statistical, machine learning, and AI models using appropriate ... data science workflows. * Experience with common commercial analytics topics (e.g. pricing ...

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 : • ...

next page

Showing results 1-20

Temporary Data Scientist Machine Learning information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do temporary data scientist machine learning jobs pay per year?

As of Aug 4, 2026, the average yearly pay for temporary data scientist machine learning in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Phoenix, AZ? The most popular types of Data Scientist Machine Learning jobs in Phoenix, AZ are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Phoenix, AZ? For Temporary Data Scientist Machine Learning jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Phoenix, AZ look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Phoenix, AZ are:
Infographic showing various Temporary Data Scientist Machine Learning job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.

Data Scientist

Koantek

Chandler, AZ • On-site

Contractor

Re-posted 15 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.