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Machine Learning Co Op Jobs in Frisco, TX (NOW HIRING)

Nokia

Data Analytics & AI Co-op

Coppell, TX · On-site

Data Analytics & AI Co-op Number of Positions: 1 Duration: 4 months Date: August-December 2026 ... Strong analytical foundation (statistics, time-series analysis, or basic machine learning concepts)

ONEOK

Engineering Co-op

Dallas, TX · On-site

$16.50 - $21.50/hr

JOB SUMMARY Join our dynamic team as an Engineering Co-op! This role is designed for current ... Gain practical engineering and project management experience through diverse learning rotations led ...

7-ELEVEN

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

7-ELEVEN

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

AT&T

Financial Co-Op (Part-time)

Dallas, TX · On-site

$25/hr

The Financial Co-op position is for students who want to build financial expertise through various ... A curious mind, continuously learning and fascinated by innovation. What you'll need: * Current ...

Att

Financial Co-Op (Part-time)

Dallas, TX · On-site

$25/hr

The Financial Co-op position is for students who want to build financial expertise through various ... A curious mind, continuously learning and fascinated by innovation. What you'll need: * Current ...

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Showing results 1-20

All JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in Frisco, TX

Machine Learning Co Op information

See Frisco, TX salary details

$23.9K

$39.9K

$82.4K

How much do machine learning co op jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning co op in Frisco, TX is $39,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,100.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What are the most commonly searched types of Machine Learning jobs in Frisco, TX?

The most popular types of Machine Learning jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Machine Learning Co Op jobs?

Cities near Frisco, TX with the most Machine Learning Co Op job openings:

Machine Learning Co Op jobs near you

Data Analytics & AI Co-op

Nokia

Coppell, TX • On-site

Part-time

Posted 7 days ago

Nokia rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

30th of 101 rated telecommunications companies

Job description

Position Title: Data Analytics & AI Co-op
Number of Positions: 1
Duration: 4 months
Date: August-December 2026
Location: Onsite, Hybrid - Dallas, TX

Educational Recommendations:

Currently enrolled in a Bachelor's or Master's degree program in a quantitative field such as Data Science, Statistics, Finance, Economics, Computer Science, or a related field at an accredited university in the US.

  • Strong analytical foundation (statistics, time-series analysis, or basic machine learning concepts)

  • Able to work with complex, multi-dimensional datasets

  • Familiar with Power BI or similar data visualization tools

  • Curious, proactive, and able to translate business needs into technical solutions in a collaborative environment

  • It would be nice if you had: 

  • Cost forecasting or financial planning (e.g., variance analysis, scenario modeling, driver-based planning)

  • AI-enabled productivity tools, including model documentation, validation, or monitoring concepts

  • Data processing or modeling using SQL, Python, or R

  • Process automation or workflow optimization tools
     

  • Build, maintain, and improve analytical solutions, including preparing datasets for analysis, exploration, and visualization

  • Develop dashboards and reports that translate complex data into clear, actionable insights

  • Apply appropriate analytical techniques and tools based on the structure and quality of available data

  • Document and present analysis workflows, findings, and recommendations to both technical and non-technical stakeholders

  • Support continuous improvement initiatives aimed at forecasting accuracy, automation, and data reliability

What Nokia employees say

Hours and flexibility

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