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

Habitat Energy

Data Engineer

Austin, TX · On-site

$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 ...

Habitat Energy

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 ...

Cypress HCM

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 ...

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Visa

Senior Data Scientist

Austin, TX · On-site

$145K/yr

Develop and implement advanced data science models, including deep learning, machine learning ... Experience in data visualization using Tableau, Power BI, or R/Python. * Experience in working with ...

Visa

Senior Data Scientist

Austin, TX · On-site

$145K/yr

Develop and implement advanced data science models, including deep learning, machine learning ... Experience in data visualization using Tableau, Power BI, or R/Python. * Experience in working with ...

AgileEngine

Data Scientist ID71658

Austin, TX · On-site +1

... R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to cybersecurity ...

Varsity Tutors

Data Science Tutor

San Marcos, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Round Rock, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Austin, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Pwc

CTIO - AI Engineer - Experienced Associate

Austin, TX

$50K - $140K/yr

... machine learning and deep learning techniques effectively - Excelling in complex data analysis and predictive modeling - Applying programming skills in MATLAB and R for data solutions - Engaging in ...

Apple

Applied Scientist

Austin, TX

$171K - $302K/yr

... 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 ...

Apple

Applied Scientist

Austin, TX

$171K - $302K/yr

... 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 ...

Electronic Arts Inc.

Data Scientist

Austin, TX · On-site

Strong experience with Python or R and advanced SQL. * Experience building statistical or machine learning models using large-scale behavioral, event, transaction, account, or telemetry data.

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Showing results 1-20

All JobsOn Call Machine Learning R JobsOn Call Machine Learning R Jobs in Austin, TX

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 Jul 1, 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.

On Call Machine Learning R jobs near you

Data Engineer

Habitat Energy

Austin, TX • On-site

$113K - $136K/yr

Full-time

Posted 5 days ago

Key responsibilities

  • Contribute to the design, development, implementation, and continuous improvement of data engineering tools, workflows, processes, and platforms.

  • Develop clean, maintainable, well-documented code that adheres to best practices and supports software, machine-learning, and data science teams.

  • Continuously enhance data quality across dimensions such as accuracy, availability, performance, and accessibility.

Job description

Data Engineer
Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models and trading. By maximising the returns from these assets we aim to drive investment in renewable energy and accelerate the transition to a low carbon world. Our rapidly growing team of 130+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management.
We have a vacancy for a Data Engineer to join our Austin based team.
Your responsibilities will include:
  • Supporting Data Engineering Infrastructure:
    • Contribute to the design, development, implementation and continuous improvement of our data engineering tools, workflows, processes, and platforms. This includes enhancing the architectural foundations and integrating new data management technologies.
  • Writing Well-Structured Code:
    • Develop clean, maintainable, well-documented code that adheres to best practices. Support best coding practices within Habitat's software, machine-learning, and data science teams.
  • Enhance data engineering knowledge:
    • Improve expertise within the software team and ensure their ability to support and collaborate on the data infrastructure infrastructure.
  • Data Quality Management:
    • Continuously enhance data quality across multiple dimensions such as accuracy, availability, performance, and accessibility to ensure a clear understanding of data within the company.
  • Providing backup/escalation to the tech-on-call team.
  • Communicating effectively across Software and Data Science teams.

Requirements
Preferred skills and experience:
  • 3+ years of Python experience.
  • 3+ years of working in technical teams, building data pipelines, delivering productionised code, building/maintaining live applications, developing tooling and improving backtesting frameworks.
  • Experience in applying relational database design.
  • Proficiency with Orchestration and IaC in AWS (e.g. Terraform, Kubernetes, RabbitMQ, Airflow, Prefect), Git, containerisation (Docker), database management (e.g. Postgres, Alembic).
  • Fluent in Python and its wider numerical ecosystem (e.g. Pandas, NumPy, Polars, Pydantic).

'Nice to have' skills and experience:
  • 2+ years of orchestrating machine learning workflows.
  • Experience with OSS data warehousing tooling and management.
  • Cloud infrastructure experience.
  • Experience with monitoring frameworks (e.g. Prometheus).
  • Experience archiving data to Parquet on S3 and creating tools for API/Grafana queries.
  • Experience centralising diverse datasets for analytics, visualisation and machine learning.
  • Familiarity with time-series forecasting and/or optimisation.
  • Experience with data visualisation and dashboards (e.g. Grafana, Superset).
  • Familiarity with machine learning and associated techniques (feature engineering, boosting methods, LightGBM).

Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply even if you may not meet every requirement in this posting. We value diversity and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work.
In return, we'll give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. We operate a hybrid working model with at least 2 days in our office in Austin.
When you apply for a job with us, we process some of your personal information. You can find out more about how we process your information on our company website: https://habitat.energy/privacy-policy/.
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