AI Data Analyst Jobs
AI Data Analyst jobs are open across technology, healthcare, finance, and retail, at every level from entry-level to principal, with specializations in machine learning pipelines, predictive modeling, and business intelligence. Find a role that fits below and apply directly.
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Posting Details
The successful candidate will teach graduate-level courses in Artificial Intelligence and Machine Learning, with a particular emphasis on applications in Biomedical Sciences, Environmental Science, and Environmental Public Health, as well as undergraduate courses as needed.
We seek an enthusiastic, innovative, and student-centered educator who is passionate about advancing AI education, mentoring students, and applying emerging technologies to real-world scientific and public health challenges.
The selected candidate will have the opportunity to contribute to the University’s new interdisciplinary Master’s program in Artificial Intelligence and Machine Learning for Biomedical and Environmental Health Systems (AIM-BEHS), helping prepare the next generation of professionals to use AI-driven approaches to address critical challenges in healthcare, biomedical research, environmental sustainability, and public health.
- A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computational Science, Biomedical Sciences, Environmental Science, Environmental Health, Environmental Public Health, Engineering, or a closely related field by the start date of appointment.
- Demonstrated expertise or a strong academic or research background in AI, Machine Learning, Data Science, or computational methods, with the ability to apply these technologies to biomedical, environmental, or public health challenges.
- Demonstrated ability or strong potential to teach graduate-level courses in Artificial Intelligence, Machine Learning, and related disciplines, including interdisciplinary applications.
- Evidence of scholarly achievement, research experience, or strong potential to develop research projects and engage graduate and undergraduate students in research and applied learning.
- Ability and willingness to collaborate with faculty and researchers from diverse scientific and technical disciplines.
- Strong communication, organizational, and interpersonal skills, with a commitment to effective teaching, student mentorship, and academic excellence.
- Commitment to supporting student success, interdisciplinary education, scholarly activities, and university service.
- Teaching, research, postdoctoral, or relevant industry experience in Artificial Intelligence, Machine Learning, or Data Science.
- Experience with AI/ML tools and programming environments such as Python, R, TensorFlow, PyTorch, or related technologies.
- Experience applying AI/ML techniques to biomedical research, Bioinformatics, healthcare, environmental monitoring, environmental health, or public health data.
- Experience developing interdisciplinary research projects, mentoring students, or collaborating on externally funded research.
- Familiarity with emerging AI technologies, including deep learning, generative AI, and advanced data analytics.
- Interest in contributing to the development and growth of a new interdisciplinary graduate program.
- Curriculum vitae.
- One combined document that includes:
- Cover letter describing teaching and research interests.
- Statement of teaching philosophy.
- Statement of research interests, including plans for student involvement.
- All graduate transcripts (unofficial transcripts are acceptable for initial review).
- Names and contact information for three professional references.
- Three professional reference letters.
Equal Opportunity Statement
Supplemental Questions
Required fields are indicated with an asterisk (*).
Documents Needed To Apply
- Resume
- Cover Letter
- Transcripts
- Letter of Recommendation
- Curriculum Vitae
- Portfolio
Posting Details
The successful candidate will teach graduate-level courses in Artificial Intelligence and Machine Learning, with a particular emphasis on applications in Biomedical Sciences, Environmental Science, and Environmental Public Health, as well as undergraduate courses as needed.
We seek an enthusiastic, innovative, and student-centered educator who is passionate about advancing AI education, mentoring students, and applying emerging technologies to real-world scientific and public health challenges.
The selected candidate will have the opportunity to contribute to the University’s new interdisciplinary Master’s program in Artificial Intelligence and Machine Learning for Biomedical and Environmental Health Systems (AIM-BEHS), helping prepare the next generation of professionals to use AI-driven approaches to address critical challenges in healthcare, biomedical research, environmental sustainability, and public health.
- A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computational Science, Biomedical Sciences, Environmental Science, Environmental Health, Environmental Public Health, Engineering, or a closely related field by the start date of appointment.
- Demonstrated expertise or a strong academic or research background in AI, Machine Learning, Data Science, or computational methods, with the ability to apply these technologies to biomedical, environmental, or public health challenges.
- Demonstrated ability or strong potential to teach graduate-level courses in Artificial Intelligence, Machine Learning, and related disciplines, including interdisciplinary applications.
- Evidence of scholarly achievement, research experience, or strong potential to develop research projects and engage graduate and undergraduate students in research and applied learning.
- Ability and willingness to collaborate with faculty and researchers from diverse scientific and technical disciplines.
- Strong communication, organizational, and interpersonal skills, with a commitment to effective teaching, student mentorship, and academic excellence.
- Commitment to supporting student success, interdisciplinary education, scholarly activities, and university service.
- Teaching, research, postdoctoral, or relevant industry experience in Artificial Intelligence, Machine Learning, or Data Science.
- Experience with AI/ML tools and programming environments such as Python, R, TensorFlow, PyTorch, or related technologies.
- Experience applying AI/ML techniques to biomedical research, Bioinformatics, healthcare, environmental monitoring, environmental health, or public health data.
- Experience developing interdisciplinary research projects, mentoring students, or collaborating on externally funded research.
- Familiarity with emerging AI technologies, including deep learning, generative AI, and advanced data analytics.
- Interest in contributing to the development and growth of a new interdisciplinary graduate program.
- Curriculum vitae.
- One combined document that includes:
- Cover letter describing teaching and research interests.
- Statement of teaching philosophy.
- Statement of research interests, including plans for student involvement.
- All graduate transcripts (unofficial transcripts are acceptable for initial review).
- Names and contact information for three professional references.
- Three professional reference letters.
Equal Opportunity Statement
Supplemental Questions
Required fields are indicated with an asterisk (*).
Documents Needed To Apply
- Resume
- Cover Letter
- Transcripts
- Letter of Recommendation
- Curriculum Vitae
- Portfolio
See All 431+ AI Data Analyst Jobs
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Find AI Data Analyst JobsAI Data Analyst Job Market
Who's Hiring
- JPMorganChase12
- Booz Allen Hamilton12
- Johns Hopkins University Applied Physics Laboratory10
- AMD7
- University of San Diego6
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Education
- Healthcare & Medical Services
- Investment & Asset Management
What Employers Look For
The qualifications that appear most often in AI data analyst jobs.
- Proficiency in Python and SQL for data manipulation and model development
- Experience building and evaluating machine learning or predictive models
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Ability to communicate analytical findings clearly to non-technical stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or similar
- Bachelor's degree in data science, statistics, computer science, or a related field
Tips for Your AI Data Analyst Job Search
Tailor your resume to model deployment
Hiring managers for ai data analyst roles want to see whether you've taken models past the notebook stage. Highlight projects where you deployed a model to production, automated a pipeline, or fed predictions into a business decision, not just exploratory analysis.
Show your stack clearly and early
Put your tools in a dedicated skills section at the top of your resume. Recruiters scanning for Python, SQL, TensorFlow, or cloud platforms like AWS and GCP will miss them if they're buried in bullet points halfway down the page.
Target postings by model type, not job title
Search for terms like 'LLM', 'NLP', 'computer vision', or 'forecasting models' alongside 'data analyst' to find roles that match your specific technical background. Generic title searches return a wide range of roles, many of which won't fit.
Apply early to roles that fit
Migrate Mate lists ai data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a business impact walkthrough
Interviewers at the final stage almost always ask you to walk through a past project. Practice framing your analysis in terms of the business outcome it drove, not the technical method you used. Know your metrics and be ready to defend your modeling choices.
Negotiate using scope, not just title
When discussing offers, ask about the data infrastructure you'll work with, team size, and whether you'll own model selection or inherit existing architectures. These factors affect your day-to-day work and your long-term growth more than title alone.
AI Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most ai data analysts?
JPMorganChase, Booz Allen Hamilton, and Johns Hopkins University Applied Physics Laboratory are hiring the most ai data analysts right now, with openings concentrated in California, Texas, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is especially high at companies scaling generative AI features into existing products.
How many ai data analyst jobs are remote?
About 63% of ai data analyst openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed technical talent. Roles focused on NLP, large language model evaluation, and business intelligence reporting tend to have the highest share of remote-eligible positions compared to roles requiring on-site data infrastructure access.
How do you become an ai data analyst?
Start by building a foundation in Python and SQL, then work through applied machine learning courses that cover model training, evaluation, and deployment. Build a portfolio of projects that go beyond analysis into prediction or automation. Getting comfortable with at least one cloud platform and one visualization tool rounds out the core skill set most employers expect.
Can you get an ai data analyst job with little or no experience?
Yes, but your portfolio does the work your resume can't. Build two or three end-to-end projects that show you can clean messy data, train a model, evaluate its performance, and explain the result to a non-technical audience. Roles titled 'junior data analyst' or 'associate data analyst' at mid-size companies are more likely to hire candidates building their first year of experience than large enterprise teams are.
What does the ai data analyst interview process look like?
Most processes run in three to four stages. A recruiter screen is followed by a technical assessment, usually a take-home or live coding exercise involving SQL, Python, and a modeling task. A panel interview with data and product stakeholders comes next, often including a case study or project walkthrough. A final conversation with a hiring manager or team lead typically closes the process.
Where can I find and apply to ai data analyst jobs?
You can find and apply to ai data analyst jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing.
See All 431+ AI Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Data Analyst Jobs