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$165K

$243.5K

How much do data science micro masters jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data science micro masters in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Data Science Micro Masters?

A Data Science MicroMasters program is a series of graduate-level online courses designed to provide learners with foundational and advanced knowledge in data science. These programs typically cover topics like statistics, machine learning, data analysis, programming, and big data tools. Upon completion, participants earn a recognized credential that can enhance their career prospects or be applied as credit toward a full master's degree at some universities. The flexible, online format allows working professionals and students to learn at their own pace. MicroMasters programs are offered by universities through platforms such as edX or Coursera.

What are the key skills and qualifications needed to thrive as a data scientist?

To thrive as a Data Scientist, you need a strong background in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field or completion of a program like a MicroMasters in Data Science. Familiarity with tools such as Jupyter Notebook, SQL, machine learning frameworks (e.g., TensorFlow, scikit-learn), and data visualization software is crucial. Strong problem-solving abilities, effective communication, and curiosity help translate complex data insights into actionable business strategies. These skills enable data scientists to extract meaningful insights from large datasets and drive data-informed decision-making within organizations.

What types of projects or collaborations can Data Science Micro Masters graduates expect in their first industry roles?

Graduates of a Data Science Micro Masters program often begin their careers working on projects that involve data cleaning, exploratory data analysis, and building predictive models under the guidance of senior data scientists. They typically collaborate closely with software engineers, business analysts, and product managers to translate business problems into data-driven solutions. The work environment is usually team-oriented, with frequent meetings to discuss project progress and share insights. Early roles provide valuable exposure to real-world datasets and practical problem-solving, which lays the foundation for rapid professional growth.

What are popular job titles related to Data Science Micro Masters jobs?

For Data Science Micro Masters jobs, the most frequently searched job titles are:

Infographic showing various Data Science Micro Masters job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI Data Science Expert - Remote

San Jose, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$100 - $200/hr

Part-time

Posted 29 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.