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

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

Create predictive models and machine-learning algorithms * Modify and combine different models ... Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or ...

Create predictive models and machine-learning algorithms * Modify and combine different models ... Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or ...

Create predictive models and machine-learning algorithms * Modify and combine different models ... Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or ...

... machine learning, and data mining * 2+ years of experience using statistical computer languages such as Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, perform ...

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Build and optimize machine learning models using large-scale engineering and manufacturing datasets.

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Build and optimize machine learning models using large-scale engineering and manufacturing datasets.

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Build and optimize machine learning models using large-scale engineering and manufacturing datasets.

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Build and optimize machine learning models using large-scale engineering and manufacturing datasets.

... machine learning to help optimize marketing channels, via observational testing frameworks ... R, SQL, Java, or C++ Experience with cloud platforms, Spark, Docker, and MLOps tools and best ...

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Build and optimize machine learning models using large-scale engineering and manufacturing datasets.

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Build and optimize machine learning models using large-scale engineering and manufacturing datasets.

Data Engineer

Austin, TX · Hybrid

$113K - $136K/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 ...

Software Engineer (AI/ML)

Austin, TX · On-site

$98 - $166/hr

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Build and optimize machine learning models using large-scale engineering and manufacturing datasets.

Showing results 21-40

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 Aug 16, 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.

Infographic showing various On Call Machine Learning R job openings in Austin, TX as of June 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.

Data Scientist

MedReview

Austin, TX • On-site

Full-time

Re-posted 20 hours ago


Job description

Position Summary:
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote.
Responsibilities:
  • Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions.
Qualifications:
  • Master's degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • Programming: Proficiency in Python or R along with SQL for database querying.
  • Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling.
  • Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.

Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams