ZipRecruiter

Log In

2

Entry Level Data Scientist Machine Learning Jobs in Frisco, TX

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Scientists, Data Engineers, and Data Architects on production systems and applications Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning On call ...

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning ...

Codvo.ai

Data Scientist (Dallas)

Dallas, TX · On-site

This role requires someone who can explain machine learning predictions in maintenance engineering language, not data science jargon. Responsibilities Discovery & Baseline (Weeks 1-2) * Conduct the ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation data science products. * Experience in bank card/credit card business, consulting, retail, marketing ...

Toyota

Data Scientist

Plano, TX · On-site +1

Hands-on experience using statistical or machine learning frameworks to solve a variety of real ... Experience working in Data Science outside of a degree-seeking academic program. What we'll bring ...

Sonsoft Inc

Data Scientist

Plano, TX · On-site

Selecting features, building and optimizing classifiers using machine learning techniques * Data ... Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at ...

Kemper

Data Scientist

Dallas, TX · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Solid understanding of statistical modeling and machine learning concepts, including model training ...

KPMG

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

KPMG is currently seeking a Data Scientist to join our Audit Technology Alliance organization ... Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with ...

next page

Showing results 1-20

All JobsData Scientist Machine Learning JobsEntry Level Data Scientist Machine Learning JobsEntry Level Data Scientist Machine Learning Jobs in Frisco, TX

Entry Level Data Scientist Machine Learning information

See Frisco, TX salary details

$35.1K

$114.9K

$183.9K

How much do entry level data scientist machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level data scientist machine learning in Frisco, TX is $114,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $127,300.00 per year, depending on experience, location, and employer.

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

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

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

What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Frisco, TX?

For Entry Level Data Scientist Machine Learning jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Frisco, TX look for?

The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Entry Level Data Scientist Machine Learning jobs?

Cities near Frisco, TX with the most Entry Level Data Scientist Machine Learning job openings:

Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,875 per year, or $55.2 per hour.

Sr Data Scientist

Pinnacle Technical Resources

Fort Worth, TX • On-site

$90 - $100/hr

Other

Medical, Dental, Vision, Retirement, PTO

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

Job description

Job Title: Data Scientist – Machine Learning & Generative AI Location: Fort Worth, TX 76155 (Hybrid) Durations: 6-12+ Months with possible extension and conversions. Job Overview: We are seeking a Data Scientist to support the Service Recovery Modernization initiative. This resource will be embedded within the project team and will take ownership of the end-to-end development of machine learning and Generative AI solutions. The ideal candidate will have strong experience in data preparation, data pipeline development, machine learning, and deploying AI applications into production. Required: Experience working as a Data Scientist, Machine Learning Engineer, or in a similar role. Strong experience with data preparation, cleansing, transformation, and feature engineering. Hands-on experience designing and developing data pipelines. Strong programming skills in Python and SQL. Experience developing, testing, and deploying machine learning models. Experience building Generative AI or large language model applications. Understanding of the complete ML lifecycle, including development, validation, deployment, and monitoring. Experience working with structured and unstructured datasets. Preferred: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. Knowledge of LLM orchestration, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation. Experience with MLOps tools, CI/CD pipelines, model monitoring, and containerized deployment. Experience delivering AI solutions for customer service, operational recovery, or process modernization initiatives. Familiarity with data governance, model governance, and responsible AI practices. Responsibilities: Work closely with the Service Recovery Modernization team to understand business needs and identify AI and machine learning opportunities. Collect, clean, transform, and prepare structured and unstructured data for analysis and modeling. Design, build, and maintain reliable data pipelines for ML and Generative AI applications. Develop, train, test, and validate machine learning models. Design and develop Generative AI applications using large language models. Deploy ML and GenAI solutions into production environments. Monitor model performance, accuracy, reliability, and data quality. Troubleshoot data, pipeline, and model-related issues. Collaborate with data engineers, software engineers, product owners, and business stakeholders. Document data processes, model designs, testing results, and deployment procedures. Follow security, privacy, governance, and responsible AI standards Pay Range: $90 - $100 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations. #LI-NP4

Apply