Back to jobs

Data Scientist

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

Chandler, Arizona, United States

Open 5 months, first seen by us 155 days ago
Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
Not stated
Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting

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.
Apply at Koantek

Posting record

Report an error

Open 5 monthsWe first saw this posting 155 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, 2026155 days ago
Recorded sightings
108
Last seen by us
Nov 4, 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.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 155

Up longer than most. Similar jobs usually come down between day 6 and day 70.

From 4,442 similar postings that came down. Coming down is not always a hire.

Koantek is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Databricks
Where the posting names them
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.

Your next step

Complete your application on koantek.zohorecruit.com. The employer’s form will show what is required.

Already applied? Track this application

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

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.
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Chandler, Arizona, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.