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On Call Data Scientist Machine Learning Jobs (NOW HIRING)

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability Job Summary We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and ...

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On Call Data Scientist Machine Learning information

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$37.5K

$122.7K

$196.5K

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

As of Jul 6, 2026, the average yearly pay for on call data scientist machine learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency in machine learning projects.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist or working in machine learning. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning tools. Continuous learning and practical experience are key factors for success in the field regardless of age.

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

AspectOn Call Data Scientist Machine LearningData Scientist
CredentialsTypically requires a master's or PhD in data science, computer science, or related fields, with expertise in machine learningSimilar educational background, often with broader data analysis skills
Work EnvironmentOn-call basis, often in fast-paced settings, providing immediate solutions for machine learning issuesStandard office environment, focusing on data analysis, modeling, and reporting
Industry UsageCommon in tech, finance, healthcare where real-time machine learning support is neededWidespread across industries for data analysis and modeling tasks

While both roles require strong data science skills, the On Call Data Scientist Machine Learning specializes in providing immediate, on-demand support for machine learning systems, often in critical environments. A Data Scientist has a broader focus on data analysis, modeling, and insights without the immediate on-call requirement.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating complex, customized solutions and maintaining model performance. AI may automate some routine aspects, but human expertise remains critical for model development, troubleshooting, and ethical considerations in the field.

Which 5 jobs will survive AI?

For an On Call Data Scientist Machine Learning role, jobs that involve complex problem-solving, creativity, and human judgment are more likely to survive AI automation. These include roles like data scientists, machine learning engineers, AI ethics specialists, cybersecurity analysts, and healthcare data analysts. Skills in critical thinking, domain expertise, and adaptability will remain valuable as AI tools continue to evolve.
What cities are hiring for On Call Data Scientist Machine Learning jobs? Cities with the most On Call Data Scientist Machine Learning job openings:
What are the most commonly searched types of Data Scientist Machine Learning jobs? The most popular types of Data Scientist Machine Learning jobs are:
What states have the most On Call Data Scientist Machine Learning jobs? States with the most job openings for On Call Data Scientist Machine Learning jobs include:
Data Scientist Machine Learning

Data Scientist Machine Learning

Rule14

Santa Monica, CA โ€ข On-site

$75K - $100K/yr

Full-time

Medical

Posted 29 days ago


Job description

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR projects. You will be responsible for the end-to-end development and deployment of machine learning models, collaborating closely with cross-functional teams to deliver impactful solutions.

Responsibilities

  • Develop and train machine learning models for various applications
  • Perform feature engineering to enhance model performance
  • Select appropriate algorithms based on project requirements
  • Tune and optimize model performance for deployment
  • Clean and preprocess data to ensure model accuracy
  • Design experiments to validate and improve model outcomes
  • Collaborate within a small team to integrate machine learning solutions
  • Manage end-to-end deployment of machine learning models

Preferred Qualifications

  • Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Experience with SQL for data querying and manipulation
  • Strong skills in statistical analysis and data visualization
  • Critical thinking and effective communication abilities

Company Description

Rule14 is an AI company and technology incubator focused on applying new approaches to uncover patterns and extract valuable intelligence within big data.
Whether helping businesses gain insight on customer loss prevention, designing targeted revenue enhancement campaigns, or uncovering fraud, waste and abuse within government programs, Rule14 empowers organizations assessing massive amounts of data for real-time decision-making.
Nventr.ai focuses on applying artificial intelligence to real-world operational environments where reliability, speed, and accuracy are critical. The company builds systems that integrate AI directly into day-to-day workflows, enabling better decision-making, automation, and coordination between software and physical operations.

Rule14 logo

About Rule14

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2011