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Time Series Analysis Jobs in Arizona (NOW HIRING)

Data Scientist

Chandler, AZ · On-site

$140 - $190/hr

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 ...

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 ...

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 ...

Lead Data Scientist

Prescott, AZ · On-site

$144K - $198K/yr

  • Medical

  • Retirement

  • PTO

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform * Effective AI ...

Lead Data Scientist

Prescott, AZ · On-site +1

$198K/yr

  • Medical

  • Retirement

  • PTO

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform * Effective AI ...

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Scientist

Tempe, AZ · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks

Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks

Series 16 Tutor

Chandler, AZ · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Series 16 Supervisory Analysts examination content covering research report ...

Series 16 Tutor

Mesa, AZ · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Series 16 Supervisory Analysts examination content covering research report ...

Series 16 Tutor

Phoenix, AZ · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Series 16 Supervisory Analysts examination content covering research report ...

Series 16 Tutor

Gilbert, AZ · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Series 16 Supervisory Analysts examination content covering research report ...

Series 16 Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Series 16 Supervisory Analysts examination content covering research report ...

Series 16 Tutor

Tempe, AZ · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Series 16 Supervisory Analysts examination content covering research report ...

Series 16 Tutor

Glendale, AZ · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Series 16 Supervisory Analysts examination content covering research report ...

Series 16 Tutor

Tucson, AZ · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Series 16 Supervisory Analysts examination content covering research report ...

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Time Series Analysis information

What is a time series analysis?

A Time Series Analysis job involves analyzing data points collected or recorded at specific time intervals to identify patterns, trends, and seasonal variations. Professionals in this role use statistical methods, machine learning models, and forecasting techniques to interpret historical data and make future predictions. Common applications include finance, economics, weather forecasting, and business performance analysis. Strong analytical skills, programming knowledge (e.g., Python, R), and experience with time series models like ARIMA or Prophet are typically required.

What are the key skills and qualifications needed to thrive in time series analysis?

To excel in Time Series Analysis, you need a strong background in statistics, data analysis, and mathematics, often supported by a degree in statistics, economics, computer science, or a related field. Experience with programming languages such as Python or R, familiarity with statistical packages, and knowledge of specialized tools like ARIMA or machine learning libraries are highly beneficial. Attention to detail, problem-solving skills, and clear communication are important for effectively interpreting data and sharing insights with stakeholders. These competencies enable professionals to extract meaningful trends from complex datasets, inform strategic decisions, and provide valuable forecasts for businesses.

What are some common challenges faced in a time series analysis role and how are they addressed?

Professionals in Time Series Analysis often encounter challenges such as handling missing or noisy data, accounting for seasonality and trends, and selecting the most appropriate modeling techniques for complex real-world problems. Addressing these challenges typically involves thorough data preprocessing, applying advanced statistical or machine learning models, and collaborating with domain experts to understand business contexts. Regularly updating models and validating forecasts also ensures accuracy and relevance. This dynamic environment helps analysts develop their expertise, adopt innovative solutions, and contribute significantly to data-driven decision-making within their organizations.

What jobs use time series analysis?

Time series analysis is used in various roles such as data analysts, financial analysts, economists, and data scientists. These jobs involve analyzing sequential data to forecast trends, detect anomalies, or inform decision-making, often using tools like Python, R, or specialized software. Professionals in these roles typically require strong statistical skills and experience with data visualization and modeling.

What are the most commonly searched types of Time Series Analysis jobs in Arizona?

The most popular types of Time Series Analysis jobs in Arizona are:

What job categories do people searching Time Series Analysis jobs in Arizona look for?

The top searched job categories for Time Series Analysis jobs in Arizona are:

Infographic showing various Time Series Analysis job openings in Arizona as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 2% Temporary, and 2% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Data Scientist

Doist

Chandler, AZ • On-site

$140 - $190/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Scientist / Senior Data Scientist

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.

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