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Data Science Machine Learning Jobs in Arizona (NOW HIRING)

Machine Learning Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Required Qualifications Bachelor s or higher degree in Data Science, Computer Science, Engineering, Information Systems, or related field Hands-on experience building and deploying Machine Learning ...

Data Scientist

Scottsdale, AZ ยท On-site

$80K - $120K/yr

... science, machine learning, or applied analytics * Strong Python + advanced SQL skills for data manipulation, modeling, and EDA * Experience developing and evaluating ML models in real-world ...

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : โ€ข ...

Data Science Tutor

Tempe, AZ ยท Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Phoenix, AZ ยท Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Gilbert, AZ ยท Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Chandler, AZ ยท Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Glendale, AZ ยท Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Mesa, AZ ยท Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Tucson, AZ ยท Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ... Ability to understand business goals and translate them into Machine Learning use cases and model ...

Experience implementing and supporting endtoend Machine Learning workflows and patterns * Expert level programming skills in Python and experience with Data Science and ML packages and frameworks

Sr. Analyst, Data Science

Tempe, AZ ยท On-site

$85.90K - $143.17K/yr

This role is ideal for a data scientist who is equally comfortable writing code, building models ... Machine Learning & Modeling * Build, validate, and deploy supervised and unsupervised machine ...

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Showing results 1-20

Data Science Machine Learning information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do data science machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for data science machine learning in Arizona is $114,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

Data Scientist

Data Scientist

Koantek

Chandler, AZ โ€ข On-site

Contractor

Posted 9 days ago


Job description

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.