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Internship Machine Learning R Jobs in Dallas, TX

D. in Computer Science, Data Science, Statistics, Mathematics, or related field. * 10+ years of experience in data science or applied machine learning roles. * Strong programming skills in Python, R ...

... R, Python, SAS, or MATLAB. * Develop experiments to collect data or models to simulate data when required data is unavailable. * Develop feature vectors for input into machine learning algorithms.

R , Python, SQL etc. • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural ...

... Machine Learning role. • 5+ Years of Experience Proficiency in programming languages such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

... R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows • Experience working with cyber security cloud platforms such as Google SecOps ...

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. * Experience with common data science toolkits, such as R, Weka, NumPy ...

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. * Experience with common data science toolkits, such as R, Weka, NumPy ...

Sr. Azure Synapse Architect

Dallas, TX · On-site

$63 - $82.25/hr

Experience developing both machine learning and descriptive algorithms/modelling using languages as Python, R, NLP etc. * 4+ years of experience with diverse structured and unstructured data sets on ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. Lead implementation of analytic ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site

$165K - $300K/yr

Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. Lead implementation of analytic ...

Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative AI use cases. * Available for a full-time, on-site internship for a minimum of 6-12 months ...

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Internship Machine Learning R information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

How much do internship machine learning r jobs pay per year?

As of Jun 4, 2026, the average yearly pay for internship machine learning r in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning R vs Data Analyst Intern?

AspectInternship Machine Learning RData Analyst Intern
Required SkillsProficiency in R, basic machine learning concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
Work EnvironmentResearch labs, tech companies, startups focusing on AI/ML projectsBusiness environments, consulting firms, marketing agencies
Industry UsagePrimarily in tech, AI, and data science sectorsAcross various industries including finance, marketing, and healthcare

Internship Machine Learning R focuses on applying R programming to develop machine learning models, often in tech and AI sectors. In contrast, Data Analyst Internships emphasize data visualization, statistical analysis, and reporting across diverse industries. Both roles require data handling skills but differ in their focus on machine learning versus data interpretation.

Data Scientist II Model Validation and Monitoring

Vytwo

Prosper, TX • On-site

Other

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


Job description

Role : Data Scientist II – Model Validation and Monitoring

Location: Scottsdale AZ (Onsite)

*US Citizen & GC Only

**Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future.

Overall, Purpose

This position serves as a data science team member in the Model Validation and Monitoring Team delivering leading edge machine learning models to our clients. This includes providing effective challenges to model development, conduct model monitoring and performance tracking, provide root cause analysis of model performance, exploring, building, validating, and deploying models.

Essential Functions

Lead model monitoring activities, including tracking performance metrics, detecting model and data drift, identifying data quality issues, providing root cause analysis, and recommending remediation strategies.

Conduct rigorous model validation by providing effective challenges during model development phases, including performance testing, benchmarking, provide remediation plan, and documentation to ensure models meet business, technical, and regulatory standards.

Explore and aggregate data independently to uncover data anomalies that impact algorithm performance

Write production level code in a dynamic, start-up environment

Solve complex problems using terabyte size data sets

Apply of a variety of machine learning techniques to a business problem to arrive at optimal approach

Partner with Product and Engineering teams to solve problems and identify trends and opportunities

Explain and visualize results and algorithm performance to non-technical audiences

Minimum Qualifications

A minimum of 2 years of data science, engineering, mathematics, or related work experience is required.

Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets with Spark language.

Experience applying various machine learning techniques, and understanding the key parameters that affect model performance

Experience using ML libraries, such as scikit-learn, mllib, etc.

Experience using data visualization tools

Able to write production level code, which is well-written and explainable

Ability to effectively communicate findings from complex analyses to non-technical audiences.

Preferred Qualifications

Experience of using advanced ML algorithms building, testing, and deploying fraud models.

Hands-on experience with PySpark

Industry experience in building or validating machine learning models

Experience exploring data and finding hidden patterns and data anomalies