Solve difficult, non-routine analysis problems by applying statistical, machine learning and ... Python, R, or Scala) Excellent communication and multi-functional collaboration skills, ability to ...
Solve difficult, non-routine analysis problems by applying statistical, machine learning and ... Python, R, or Scala) Excellent communication and multi-functional collaboration skills, ability to ...
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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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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Build and maintain basic machine learning models (Regression, Random Forest, etc.) to forecast ... SQL, Python (primary), R (secondary) * Visualization: Tableau / Looker * Transformation: dbt
Quick apply
Build and maintain basic machine learning models (Regression, Random Forest, etc.) to forecast ... SQL, Python (primary), R (secondary) * Visualization: Tableau / Looker * Transformation: dbt
Build and maintain basic machine learning models (Regression, Random Forest, etc.) to forecast ... SQL, Python (primary), R (secondary) * Visualization: Tableau / Looker * Transformation: dbt
Build and maintain basic machine learning models (Regression, Random Forest, etc.) to forecast ... SQL, Python (primary), R (secondary) * Visualization: Tableau / Looker * Transformation: dbt
Entry Level Data Analyst
Austin, TX · On-site
Build and maintain basic machine learning models (Regression, Random Forest, etc.) to forecast ... SQL, Python (primary), R (secondary) * Visualization: Tableau / Looker * Transformation: dbt
Entry Level Data Analyst
Austin, TX · On-site
Build and maintain basic machine learning models (Regression, Random Forest, etc.) to forecast ... SQL, Python (primary), R (secondary) * Visualization: Tableau / Looker * Transformation: dbt
Senior Perception & Tracking Engineer
Austin, TX · On-site
$103K - $142K/yr
Train, evaluate, and deploy machine learning models for perception tasks in dynamic environments ... Experience implementing object detection (YOLO, SSD, R-CNN, or similar) and classic or deep ...
Quick apply
Senior Perception & Tracking Engineer
Austin, TX · On-site
$103K - $142K/yr
Train, evaluate, and deploy machine learning models for perception tasks in dynamic environments ... Experience implementing object detection (YOLO, SSD, R-CNN, or similar) and classic or deep ...
Senior Perception & Tracking Engineer
Austin, TX · On-site
$103K - $142K/yr
Train, evaluate, and deploy machine learning models for perception tasks in dynamic environments ... Experience implementing object detection (YOLO, SSD, R-CNN, or similar) and classic or deep ...
Senior Perception & Tracking Engineer
Austin, TX · On-site
$103K - $142K/yr
Train, evaluate, and deploy machine learning models for perception tasks in dynamic environments ... Experience implementing object detection (YOLO, SSD, R-CNN, or similar) and classic or deep ...
Senior Perception & Tracking Engineer
Austin, TX · On-site
$103K - $142K/yr
Train, evaluate, and deploy machine learning models for perception tasks in dynamic environments ... Experience implementing object detection (YOLO, SSD, R-CNN, or similar) and classic or deep ...
Senior Perception & Tracking Engineer
Austin, TX · On-site
$103K - $142K/yr
Train, evaluate, and deploy machine learning models for perception tasks in dynamic environments ... Experience implementing object detection (YOLO, SSD, R-CNN, or similar) and classic or deep ...
Lead Data Scientist
Austin, TX · On-site
$120 - $170/hr
Expert-level proficiency in Python or R, and advanced SQL capabilities. * Deep, hands-on expertise with advanced machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, XGBoost). * Extensive ...
Lead Data Scientist
Austin, TX · On-site
$120 - $170/hr
Expert-level proficiency in Python or R, and advanced SQL capabilities. * Deep, hands-on expertise with advanced machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, XGBoost). * Extensive ...
Applied Scientist
$175K - $308K/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 ...
Applied Scientist
$175K - $308K/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 ...
Applied Scientist
$175K - $308K/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 ...
Applied Scientist
$175K - $308K/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 ...
... machine learning to translate client R&D problems into architectures spanning data, models, and ... materials R&D. * Take part in collaborative development practices - code review, architecture ...
... machine learning to translate client R&D problems into architectures spanning data, models, and ... materials R&D. * Take part in collaborative development practices - code review, architecture ...
... machine learning systems with industry recognized ML frameworks and algorithms Strong programming skills in Python, PySpark, R, and/or SQL Experience working with model risk governing bodies in model ...
... machine learning systems with industry recognized ML frameworks and algorithms Strong programming skills in Python, PySpark, R, and/or SQL Experience working with model risk governing bodies in model ...
... machine learning systems with industry recognized ML frameworks and algorithms • Strong programming skills in Python, PySpark, R, and/or SQL • Experience working with model risk governing bodies ...
... machine learning systems with industry recognized ML frameworks and algorithms • Strong programming skills in Python, PySpark, R, and/or SQL • Experience working with model risk governing bodies ...
Data Science Advisor - Hybrid
Austin, TX · On-site +1
Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. * Experience developing predictive ...
Data Science Advisor - Hybrid
Austin, TX · On-site +1
Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. * Experience developing predictive ...
... machine learning models (classification, regression, time-series forecasting, anomaly detection) PREFERRED QUALIFICATIONS - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc ...
... machine learning models (classification, regression, time-series forecasting, anomaly detection) PREFERRED QUALIFICATIONS - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc ...
On Call Machine Learning R information
See Austin, TX salary details
$25.3K - $30.9K
5% of jobs
$32.8K is the 25th percentile. Wages below this are outliers.
$30.9K - $36.5K
59% of jobs
$36.5K - $42.2K
9% of jobs
$42.6K is the 75th percentile. Wages above this are outliers.
$42.2K - $47.8K
17% of jobs
$47.8K - $53.4K
4% of jobs
$53.4K - $59.1K
2% of jobs
$59.1K - $64.7K
3% of jobs
$64.7K - $70.3K
0% of jobs
$70.3K - $76K
0% of jobs
$76K - $81.6K
0% of jobs
$81.6K - $87.2K
0% of jobs
$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?
| Aspect | On Call Machine Learning R | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires proficiency in R, statistical analysis, and some machine learning knowledge | Requires advanced degrees (often Master’s or PhD), programming skills (R, Python), and data analysis expertise |
| Work Environment | Often on-demand, project-based, or support roles within organizations or consulting firms | Full-time roles in various industries, involving data analysis, model development, and strategic insights |
| Employer & Industry Usage | Used by companies needing immediate machine learning support or troubleshooting | Employed 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.
Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights","responsibilities":"Develop scalable data solutions to be used to drive analyses, reports, and insights
Influence upstream data model design, drive KPI definitions and develop customized data solutions
Measure impact of features and initiatives and help improve customer experience
Collaborate and influence cross functional partners to help deliver product objectives on time
Communicate results, insights and expectations to partners and senior leaders, bridge any gaps between technical and non-technical audiences. Be adept at messaging domain and technical content at a level appropriate for the audience.
Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams.
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist
At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights","responsibilities":"Develop scalable data solutions to be used to drive analyses, reports, and insights
Influence upstream data model design, drive KPI definitions and develop customized data solutions
Measure impact of features and initiatives and help improve customer experience
Collaborate and influence cross functional partners to help deliver product objectives on time
Communicate results, insights and expectations to partners and senior leaders, bridge any gaps between technical and non-technical audiences. Be adept at messaging domain and technical content at a level appropriate for the audience.
Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams.
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976