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Data Scientist

Reads like a ML Engineer role: putting models into production.

Chandler, Arizona, United States

Pay
Pay not listedSimilar roles state $165K–$240K
Work setting
Not stated
Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
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What you’ll work on

Full posting
  • Design and build generative AI solutions such as chatbots and AI assistants

  • Build and optimize classification, regression, and time series forecasting models

  • Develop end-to-end ML pipelines and support deployment into production

  • Monitor, maintain, and improve model performance and reliability

  • Turn structured and unstructured data into actionable insights

From the employer’s posting
Design, develop, and implement Generative AI solutions including chatbots and AI assistants.
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.
Monitor, maintain, and improve model performance and reliability.
Work with structured and unstructured datasets to derive actionable insights.

What you’ll bring

All qualifications

Core experience

  • 5+ years in data science, machine learning, or AI-related roles
  • Strong experience with generative AI and LLM applications
  • Hands-on experience with LangChain or similar AI orchestration frameworks
  • Experience with ML Ops and deploying models into production
  • Proficiency in Python and common data science libraries
Qualification wording
5+ years of experience in Data Science, Machine Learning, or AI-related roles
Strong experience in Generative AI and Large Language Model (LLM) applications.
Hands-on experience with LangChain or similar AI orchestration frameworks.
Experience with ML Ops practices and deploying machine learning models into production.
Proficiency in Python and common data science libraries/frameworks.

Tools in this posting

  • Python
  • Databricks
Source — Tool mentions in context
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.

Posting record

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Open 4 monthsWe first saw this posting 148 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 3, 2026 · 148 days ago
Recorded sightings
101
Last seen by us
Oct 28, 2026
Employer says posted
May 21, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

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.
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Location & working pattern

Chandler, Arizona, United States

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