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Entry Level Data Scientist Machine Learning Jobs in Frisco, TX

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

... a talented Data Scientist to join our growing analytics team in Dallas, TX. The ideal candidate will have experience building predictive models, developing machine learning solutions, and ...

Amazon

Data Scientist II - AMZ27596.1

Irving, TX · On-site

$141K - $184K/yr

Data Scientist II - AMZ27596.1 Location: Irving, TX Multiple Positions Available: Design and ... machine learning algorithms, genetic algorithms, and neural networks. Validate models against ...

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related quantitative field. Why Join Us? * Work on impactful machine learning and AI ...

Judge Group, Inc.

DATA SCIENTIST - IV

Irving, TX · On-site

... Machine Learning and Data Mining algorithms Irving Manager-part of Verizon business group * Product team manages IOT and SDWAN products and they are the data scientist team * 6 total data scientists ...

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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.

Predictive Analytics Engineer

Select Minds LLC

Dallas, TX • On-site

$100K - $120K/yr

Full-time

Posted 23 days ago

Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement

Data Scientist / Predictive Analytics Engineer
Location: Dallas, TX (Hybrid, 3 days onsite per week)
Employment Type: Full-Time / Contract (W2)
Duration: Long-Term
Work Authorization: Open to candidates authorized to work in the U.S.
Interview Process: Video Interview followed by Client Interview
We are seeking a talented Data Scientist to join our growing analytics team in Dallas, TX.
The ideal candidate will have experience building predictive models, developing machine learning solutions, and transforming complex datasets into actionable business insights.
will work closely with product, engineering, and business stakeholders to drive data-driven decision making and improve business outcomes.
Key Responsibilities
* Collect, clean, and integrate structured and unstructured data from multiple sources.
* Build, train, validate, and deploy machine learning models for predictive analytics.
* Design and execute A/B testing and statistical experiments to optimize products and business processes.
* Develop automated dashboards and reports to monitor KPIs and business performance.
* Perform exploratory data analysis to identify trends, patterns, and opportunities.
* Present analytical findings and recommendations to technical and non-technical stakeholders.
* Collaborate with cross-functional teams including Product, Engineering, Marketing, and Business Operations.
* Optimize existing data science workflows and improve model performance.
* Ensure data quality, governance, and best practices throughout the analytics lifecycle.

Required Skills
* 2+ years of professional experience as a Data Scientist.
* Strong programming skills in Python or R.
* Advanced SQL skills with experience querying complex relational databases.
* Hands-on experience with machine learning frameworks such as:
    * Scikit-Learn     * TensorFlow    * PyTorch
* Experience with statistical modeling, predictive analytics, and feature engineering.
* Strong understanding of:
    * Regression Analysis    * Hypothesis Testing    * Probability & Statistics
* Experience with data visualization tools such as:
    * Tableau   * Power BI   * Matplotlib
* Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
* Experience working with cloud platforms such as AWS, Azure, or GCP.
* Knowledge of data pipelines, ETL processes, and big data technologies.
* Experience with MLOps, model deployment, and monitoring is a plus.
* Familiarity with version control systems such as Git.
Education
* Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related quantitative field.
Why Join Us?
* Work on impactful machine learning and AI initiatives.
* Hybrid work environment in Dallas, TX.
* Collaborative, data-driven culture.
* Opportunity to work with modern analytics and cloud technologies.
* Competitive compensation and career growth opportunities.

Flexible work from home options available.