1

On Call Machine Learning R Jobs in Austin, TX (NOW HIRING)

Proficiency in programming languages such as Python, R, or Java Script. * Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). * Familiarity ...

New

Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science ... R, SQL, Java, or C++Experience with cloud platforms, Spark, Docker, and MLOps tools and best ...

Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science ... Proficiency in programming languages such as Python, R, SQL, Java, or C++ * Experience with cloud ...

Data Engineer

Austin, TX · Hybrid

$113.50K - $136.30K/yr

Support best coding practices within Habitat's software, machine-learning, and data science teams ... Providing backup/escalation to the tech-on-call team. * Communicating effectively across Software ...

Data Engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

Support best coding practices within Habitat's software, machine-learning, and data science teams ... Providing backup/escalation to the tech-on-call team. * Communicating effectively across Software ...

Data Engineer

Austin, TX · Hybrid

$113.50K - $136.30K/yr

Support best coding practices within Habitat's software, machine-learning, and data science teams ... Providing backup/escalation to the tech-on-call team. * Communicating effectively across Software ...

PhD in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Machine Learning, Data ... Experience with one or more common statistical tools such SAS, R, KNIME, Matlab. * Excellent ...

PhD in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Machine Learning, Data ... Experience with one or more common statistical tools such SAS, R, KNIME, Matlab. * Excellent ...

PhD in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Machine Learning, Data ... Experience with one or more common statistical tools such SAS, R, KNIME, Matlab. * Excellent ...

Staff ML Scientist

Austin, TX · Hybrid

$157K - $170K/yr

PhD in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Machine Learning, Data ... Experience with one or more common statistical tools such SAS, R, KNIME, Matlab. * Excellent ...

... or 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 ...

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Advanced degrees are a plus. * 5 years of experience in data science and machine learning. * Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks. * Hands-on experience with ...

next page

Showing results 1-20

On Call Machine Learning R information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do on call machine learning r jobs pay per year?

As of Jun 4, 2026, the average yearly pay for on call machine learning r in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is the difference between On Call Machine Learning R vs Data Scientist?

AspectOn Call Machine Learning RData Scientist
Required CredentialsTypically requires proficiency in R, statistical analysis, and some machine learning knowledgeRequires advanced degrees (often Master’s or PhD), programming skills (R, Python), and data analysis expertise
Work EnvironmentOften on-demand, project-based, or support roles within organizations or consulting firmsFull-time roles in various industries, involving data analysis, model development, and strategic insights
Employer & Industry UsageUsed by companies needing immediate machine learning support or troubleshootingEmployed across industries for data-driven decision making and predictive modeling

While both roles involve machine learning and R, On Call Machine Learning R focuses on providing immediate, project-specific support using R, whereas Data Scientists typically work on comprehensive data analysis and model development in a full-time capacity.

What are the most commonly searched types of Machine Learning R jobs in Austin, TX? The most popular types of Machine Learning R jobs in Austin, TX are:
Infographic showing various On Call Machine Learning R job openings in Austin, TX as of May 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.
Sr. BI/DW Engineer

$90K - $120K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


CompuCom rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

69th of 203 rated it services


Job description

Compucom Systems, Inc. provides end-to-end IT managed services to enable the digital workplace for enterprise, midsize and small businesses. To enable our clients to focus on what matters most, we employ a customer-centric, hard-working, and talented group of people that Act Like an Owner, Do the Right Thing, and Have Fun Doing It! We’re looking for a Sr. BI/DW Engineer to join our team.

The Sr. Engineer will design, develop, and maintain BI/ML/AI solutions that empower data-driven decision-making across the organization. You will work closely with cross-functional teams, translating business needs into technical specifications and building intuitive data models using industry-leading BI tools like Power BI and Qlik. . Your contributions will be essential in turning complex data into actionable insights and powering our data-driven decision-making processes.

Responsibilities

  • Develop, test, and deploy machine learning models for various use cases such as MACD’s, Enterprise Defects within operations, etc.

  • Work with large datasets and perform data preprocessing, feature engineering, and model selection.

  • Collaborate with engineers, and product teams to define and deliver high-quality AI solutions.

  • Implement machine learning pipelines for scalable model training and inference.

  • Tune and optimize models for performance and efficiency, including hyperparameter tuning, model evaluation, and validation.

  • Build robust and scalable BI solutions that facilitate data-driven decision-making processes across departments.

  • Partner with business analysts, department heads, and other stakeholders to gather business requirements and translate them into detailed technical specifications.

  • Create and maintain data models, ensuring data accuracy, consistency, and optimization across BI tools like Power BI and Qlik.

Skills & Qualifications

  • Bachelor’s in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).

  • 2-4 years of experience working in machine learning, data science, or related roles.

  • Proficiency in programming languages such as Python, R, or Java Script.

  • Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

  • Familiarity with deep learning architectures and techniques (e.g., CNNs, RNNs, transformers).

  • Solid understanding of algorithms, data structures, and model evaluation methods.

  • Experience working with data manipulation libraries like NumPy, pandas, and data visualization tools (e.g., Matplotlib, Seaborn).

  • Proficiency in cloud platforms (e.g., AWS, GCP, Azure, Snowflake) and containerization tools (Docker, Kubernetes) is a plus.

  • Expertise in AI and machine learning to drive innovative solutions and enhance business operations through Agentic AI technologies.

  • Proven experience as a BI Developer or in a similar data-focused role.

  • Expert in BI tools mainly Qlik and Proficient in PowerBI.

  • Experience working with cross-functional teams to capture business requirements and translate them into actionable technical solutions.

  • Strong analytical and problem-solving skills, with attention to detail.

  • Excellent communication skills, with the ability to simplify complex technical concepts for non-technical stakeholders.

Preferred Qualifications:

  • Experience in deploying machine learning models into production environments.

  • Experience in Generative AI (open AI, Anthropic, Bedrock, Gemeni, Azure Open AI).

  • Familiarity with distributed computing frameworks like Spark or Dask.

  • Knowledge of MLOps practices and model versioning tools (e.g., MLflow, DVC, Kubeflow).

  • ​​​​​​​Experience with NLP, computer vision, or time-series forecasting is a plus.

Wage Range :

The annual starting salary for this position is between $90,000 – $120,000 annually. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

Benefits :

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, life insurance, AD&D insurance, disability plans, Employee Assistance Program, paid holidays (up to 12 days annually), paid time off (minimum of 10 days annually, which increases with seniority level), paid parental leave (minimum of 10 days annually), 401(k), FSA/HSA pre-tax benefits. More detailed information can be found here. (https://www.compucom.com/wp-content/uploads/2025/06/2025-Compucom_Benefits-Summary_FINAL-rev-04-07-25_Legal.pdf)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Expiration Date :

This posting is anticipated to remain open until 7/26/2026.

Equal Employment Opportunity : Compucom is committed to providing equal employment opportunities in all employment practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other characteristic protected by law.

Work Authorization: Candidates must be authorized to work in the United States without the need for current or future employer sponsorship.

Arizona Applicants : TO THE EXTENT REQUIRED BY APPLICABLE LAW, THE COMPANY MAINTAINS A SMOKE-FREE WORKPLACE.

California Residents : PLEASE REVIEW THE CALIFORNIA CONSUMER PRIVACY ACT NOTICE (https://www.compucom.com/wp-content/uploads/2025/09/Compucom-California-Consumer-Privacy-Act-Notice.pdf) .

We will consider for employment all qualified applicants, including those with criminal histories, arrest, and conviction records in a manner consistent with the requirements of applicable state and local laws. This includes the City of Los Angeles Fair Chance Initiative for Hiring Ordinance as well as the San Francisco Fair Chance Ordinance.

Maryland Applicants : UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

Massachusetts Applicants : IT IS UNLAWFUL IN MASSACHUSETTS TO REQUIRE OR ADMINISTER A LIE DETECTOR TEST AS A CONDITION OF EMPLOYMENT OR CONTINUED EMPLOYMENT. AN EMPLOYER WHO VIOLATES THIS LAW SHALL BE SUBJECT TO CRIMINAL PENALTIES AND CIVIL LIABILITY.

Rhode Island Applicants : THE COMPANY IS SUBJECT TO CHAPTERS 29-38 OF TITLE 28 OF THE GENERAL LAWS OF RHODE ISLAND, AND IS THEREFORE COVERED BY THE STATE’S WORKERS’ COMPENSATION LAW.

CompuCom is committed to providing equal employment opportunities in all employment practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, citizenship status, marital status, age, disability, protected veteran status, genetic information, sexual orientation, gender identity or expression, or any other status protected by law.


What CompuCom employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom