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Junior Machine Learning Jobs in Coppell, TX (NOW HIRING)

... machine learning analytics, predictive modeling, and strategic data visualization. This Analyst ... Peer Mentoring: Provide guidance and technical mentorship to junior and mid-level analysts ...

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

Peer Mentoring: Provide guidance and technical mentorship to junior and mid-level analysts ... Master's degree in Data Science, Analytics, Machine Learning, Statistics, or a related quantitative ...

Sr. Data Analyst

Richardson, TX · On-site

$110 - $140/hr

Peer Mentoring: Provide guidance and technical mentorship to junior and mid-level analysts ... Master's degree in Data Science, Analytics, Machine Learning, Statistics, or a related quantitative ...

... machine learning analytics, predictive modeling, and strategic data visualization. This Analyst ... Peer Mentoring: Provide guidance and technical mentorship to junior and mid-level analysts ...

Lead Data Analyst

Richardson, TX · On-site

$120 - $160/hr

... machine learning analytics, predictive modeling, and strategic data visualization. This Analyst ... Peer Mentoring: Provide guidance and technical mentorship to junior and mid-level analysts ...

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

Peer Mentoring: Provide guidance and technical mentorship to junior and mid-level analysts ... Master's degree in Data Science, Analytics, Machine Learning, Statistics, or a related quantitative ...

Sr. Software Engineer - AI

Irving, TX · On-site

$117K - $155K/yr

... mentor junior engineers, and contribute to best practices in software development and AI integration. * Stay current with emerging technologies and trends in AI, machine learning, and software ...

Showing results 21-40

Junior Machine Learning information

See Coppell, TX salary details

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$24

$43

How much do junior machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for junior machine learning in Coppell, TX is $24.89, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $30.62 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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

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

What are popular job titles related to Junior Machine Learning jobs in Coppell, TX?

For Junior Machine Learning jobs in Coppell, TX, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning jobs in Coppell, TX look for?

The top searched job categories for Junior Machine Learning jobs in Coppell, TX are:

What cities near Coppell, TX are hiring for Junior Machine Learning jobs?

Cities near Coppell, TX with the most Junior Machine Learning job openings:

Infographic showing various Junior Machine Learning job openings in Coppell, TX as of August 2026, with employment types broken down into 85% Full Time, 3% Part Time, 9% Contract, and 3% Nights. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $51,761 per year, or $24.9 per hour.

Lead Data Scientist - Healthcare

Tiger Analytics Inc.

Dallas, TX • On-site

Full-time

Posted 28 days ago


Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding.

Key Responsibilities

  • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes.
  • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets.
  • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models.
  • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data.
  • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions.
  • Monitor model performance, retrain models, and optimize algorithms for production environments.
  • Mentor junior data scientists and provide technical leadership across the project.
  • Ensure compliance with healthcare data privacy and governance standards.

Requirements

  • 8-10 years of experience in Data Science / Machine Learning roles.
  • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics).
  • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks.
  • Mandatory experience working in the Healthcare domain.
  • Strong programming skills in Python, SQL, and ML libraries.
  • Experience with cloud platforms such as AWS, Azure, or GCP preferred.
  • Excellent stakeholder communication and leadership skills.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.