Decision Science Analyst Jobs
Decision Science Analyst jobs are open across tech, finance, healthcare, and retail, from entry-level analyst to senior and principal roles, with specializations in predictive modeling, experimentation, and business intelligence. See the openings below and apply to the ones that match your experience.
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Showing 5 of 30+ Decision Science Analyst jobs
Application Window
Open date: November 12, 2026
Next review date: Friday, Nov 27, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Friday, May 12, 2028 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
Public Health and Clinical Data Science, Modeling, and Decision Analysis –
Junior Specialist
Institute for Health Policy Studies
UC San Francisco
Applications are welcome for a NIH-funded Junior Specialist position for a 1-year term. The Junior Specialist will work under the direction of Dr. Reza Yaesoubi at the Philip R. Lee Institute for Health Policy Studies. The successful candidate will have the opportunity to lead projects broadly related to public health and clinical data science, modeling, and decision analysis. This includes, but is not limited to, developing machine learning models to predict the risk of specific health outcomes, developing reinforcement learning models to optimize public health responses to pandemics, and developing cost-effectiveness models to optimize antibiotic selection for the treatment of drug-resistant tuberculosis.
One of the main purposes of this position is to provide hands-on research experience for individuals who are considering pursuing PhD studies. The successful applicant will have the opportunity to serve as lead author on publications arising from this work and to communicate findings through oral presentations at national and international conferences.
Required Qualifications:
- Bachelor degree in data science, statistics, biostatistics, operations research, infectious disease modeling, computational biology, computational ecology, computer science, or related quantitative disciplines.
- Strong background in statistics and probability models.
- Strong programming skills.
See Table 24B for the salary range for this position. A reasonable estimate for this position is $57,000 - $60,700.
Click here to apply with a CV, Cover Letter, and contact information for two references. Applicants must meet the qualifications at the time of application.
Application Requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter
Statement of Research (Optional)
Statement of Teaching (Optional)
- 2 required (contact information only)
About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
- “Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Application Window
Open date: November 12, 2026
Next review date: Friday, Nov 27, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Friday, May 12, 2028 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
Public Health and Clinical Data Science, Modeling, and Decision Analysis –
Junior Specialist
Institute for Health Policy Studies
UC San Francisco
Applications are welcome for a NIH-funded Junior Specialist position for a 1-year term. The Junior Specialist will work under the direction of Dr. Reza Yaesoubi at the Philip R. Lee Institute for Health Policy Studies. The successful candidate will have the opportunity to lead projects broadly related to public health and clinical data science, modeling, and decision analysis. This includes, but is not limited to, developing machine learning models to predict the risk of specific health outcomes, developing reinforcement learning models to optimize public health responses to pandemics, and developing cost-effectiveness models to optimize antibiotic selection for the treatment of drug-resistant tuberculosis.
One of the main purposes of this position is to provide hands-on research experience for individuals who are considering pursuing PhD studies. The successful applicant will have the opportunity to serve as lead author on publications arising from this work and to communicate findings through oral presentations at national and international conferences.
Required Qualifications:
- Bachelor degree in data science, statistics, biostatistics, operations research, infectious disease modeling, computational biology, computational ecology, computer science, or related quantitative disciplines.
- Strong background in statistics and probability models.
- Strong programming skills.
See Table 24B for the salary range for this position. A reasonable estimate for this position is $57,000 - $60,700.
Click here to apply with a CV, Cover Letter, and contact information for two references. Applicants must meet the qualifications at the time of application.
Application Requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter
Statement of Research (Optional)
Statement of Teaching (Optional)
- 2 required (contact information only)
About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
- “Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Decision Science Analyst Jobs by Experience Level
See All 30 Decision Science Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Decision Science Analyst JobsDecision Science Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in decision science analyst jobs.
- Proficiency in SQL and at least one statistical programming language such as Python or R
- Experience building and deploying predictive models or machine learning pipelines
- Familiarity with data visualization tools such as Tableau, Power BI, or Looker
- Bachelor's degree in statistics, mathematics, computer science, economics, or a related quantitative field
- Ability to translate analytical findings into clear business recommendations for non-technical stakeholders
- Experience designing or analyzing A/B tests and interpreting causal inference results
Tips for Your Decision Science Analyst Job Search
Tailor your resume to the stack
Decision science roles vary widely in tooling. Scan each job posting for the exact combination of SQL, Python, R, and BI tools listed, then mirror that language in your resume's skills and project sections rather than listing every tool you've ever touched.
Quantify every modeling outcome you own
Hiring managers want to see impact, not process. For each project on your resume, state what the model predicted, what decision it informed, and what measurable business outcome followed. Vague descriptions of building dashboards won't get you past the screener.
Target postings that name your methodology
Filter openings by the analytical approach you're strongest in, whether that's causal inference, A/B testing, or demand forecasting. Applying to roles that match your core methodology gets you into interviews where you can speak with real depth.
Apply early to roles that fit
Migrate Mate lists decision science 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 case study for the take-home
Most decision science interviews include a take-home problem or live case. Practice walking through your analytical choices out loud, not just your code. Interviewers score your reasoning process and your ability to frame ambiguous business questions before writing a single query.
Negotiate scope alongside compensation
When you receive an offer, ask which decisions the role directly influences and how the team's recommendations reach stakeholders. Titles and pay vary, but roles where analysts own a full decision cycle offer more growth than pure reporting positions at the same level.
Decision Science Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most decision science analysts?
The companies hiring the most decision science analysts right now include Logic, Accenture, and USAA, with the largest share of openings in New York, California, and Texas, based on current listings on Migrate Mate as of November 2026. Financial services, large-scale retail, and health systems tend to maintain the deepest ongoing demand for this role.
How many decision science analyst jobs are remote?
About 100% of decision science analyst openings are fully remote or hybrid as of November 2026, reflecting strong employer comfort with distributed analytical work. Roles centered on experimentation design, forecasting, and reporting tend to be the most remote-friendly, while positions embedded in product or operations teams more often require on-site presence.
How do you become a decision science analyst?
Start by building a foundation in statistics and a query language like SQL, then add proficiency in Python or R through coursework or self-directed projects. Develop a portfolio of end-to-end analyses that show business framing, methodology, and outcome. Entry-level roles in data analysis or business intelligence are common stepping stones, and graduate work in applied statistics or analytics accelerates progression into senior positions.
Can you get a decision science analyst job with little experience?
Yes, but your portfolio has to do the work your resume can't. Build two or three projects that show a full analytical cycle: a defined business question, a cleaned dataset, a model or test, and a recommendation grounded in the results. Internships, capstone projects, and open-source datasets are all viable sources. Roles labeled analyst or associate rather than senior are the most accessible entry points.
What does the decision science analyst interview process look like?
Most processes run in stages: an initial screen with a recruiter, a technical phone or video interview covering SQL and statistics fundamentals, a take-home case or live coding exercise, and a final round with the hiring manager and cross-functional stakeholders. The case study stage is usually the heaviest filter, so practice explaining your analytical choices as clearly as you write your code.
Where can I find and apply to decision science analyst jobs?
You can find and apply to decision science analyst jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that fit your experience level and specialization, then apply directly to each listing from the page.
See All 30 Decision Science Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Decision Science Analyst Jobs