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From Home Applied Statistics Jobs (NOW HIRING)

University of St Thomas

Adjunct, Statistics

Saint Paul, MN · On-site

$5K - $6K/mo

... applied statistics courses including introduction to statistics, applied regression analysis ... The salary range for the College of Arts and Sciences Adjunct positions ranges from $5,994 to $6 ...

InMobi

Applied Scientist III

San Mateo, CA

Statistical learning theory, optimization, probability theory, and information theory * Causal ... End-to-end ownership: you can go from idea to production and thrive in applied settings. * Prior ...

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What are the key skills and qualifications needed to thrive as a Remote Applied Statistician, and why are they important?

To thrive as a Remote Applied Statistician, you need a strong background in statistics, mathematics, and data analysis, typically supported by a relevant degree such as statistics, mathematics, or data science. Proficiency with statistical software (like R, SAS, or Python), data visualization tools, and sometimes certifications in analytics or data science are highly valued. Strong problem-solving, attention to detail, and effective communication skills set top performers apart in this field. These competencies are crucial for delivering accurate analyses, interpreting complex data, and effectively conveying insights in a remote work environment.

What are 'From Home Applied Statistics' jobs?

'From Home Applied Statistics' jobs are remote positions where professionals use statistical techniques to analyze data, solve problems, and support decision-making for various organizations. These roles can include data analysis, statistical modeling, and interpreting quantitative research, all performed from a home office. Common employers include academic institutions, government agencies, and private companies in sectors like healthcare, finance, and technology. Strong skills in statistics, mathematics, and proficiency in statistical software such as R, SAS, or Python are typically required. Working remotely allows statisticians to collaborate with teams and clients virtually while maintaining a flexible work environment.

How does working remotely as an Applied Statistician impact collaboration with cross-functional teams?

Remote Applied Statisticians often collaborate with diverse teams such as data scientists, software engineers, and business analysts through virtual meetings and digital communication platforms. While this structure allows for flexibility and autonomy, it also requires proactive communication and clear documentation to ensure project alignment. Regular check-ins, shared dashboards, and collaborative tools become essential to keep everyone on the same page. Adapting to different time zones and working styles can be a challenge, but also offers the opportunity to work with a global team and broaden your professional network.
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Infographic showing various From Home Applied Statistics job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 61% Full Time, 24% Part Time, and 12% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.
Assistant Professor - Mathematics & Computer Science

Assistant Professor - Mathematics & Computer Science

University of St. Thomas

Houston, TX • On-site

Full-time

Posted 7 days ago

Job description

The Department of Mathematics, Statistics, and Computer Science at the University of St. Thomas (Houston, TX) seeks applicants for a tenure-track faculty position at the rank of Assistant Professor to begin in the Fall of 2026. terminal Ph.D. Degree in Data Science, Statistics, or Mathematics with an emphasis on applied statistics (if a degree in Applied Statistics, it must have a strong Computer Science background). The successful candidate will be able to contribute to the academic and scholarly work of the department and the university, and also to identify strongly with the university's Catholic liberal arts identity and its Basilian mission.
Located in Houston, Texas, the University of St. Thomas is a private institution committed to the liberal arts and to the religious, ethical, and intellectual tradition of Catholic higher education. The Computer Science program is adopting an innovative curriculum for Computer Science, anchored in a Socio-technical and situated learning pedagogy along with a highly interdisciplinary and collaborative approach. Some of our partnerships include the Center for Health and Science Professions, the Data-Inspired Discovery and Algorithmic Fairness Lab, and the UST STEM Center, among others. The campus is located in Houston's Museum District and Innovation Corridor, a diverse and vibrant urban environment with professional opportunities. We're just steps from downtown and the famed Texas Medical Center.
Responsibilities include:
The successful candidate is expected to:
  • Teach undergraduate courses in basic mathematics, applied statistics, and data analysis.
  • Teach and develop appropriate graduate courses in the Master's of Applied Data Science program.
  • Contribute to the development and general growth of the Master of Applied Data Science program.
  • Develop an undergraduate research program.
  • Participate in service activities as needed by the department and the university.

Qualifications:
The successful candidate is expected to possess:
  • A terminal Ph.D. Degree in Data Science, Statistics, or Mathematics with an emphasis on applied statistics (if a degree in Applied Statistics, it must have a strong Computer Science background).
  • A demonstrated excellence in teaching or demonstrable ability and or commitment to teaching excellence.
  • A demonstrated track record of scholarship and service activities.
  • An expressed desire and commitment to support the university's mission.

In addition to addressing qualifications and experience, the cover letter should address the candidate's resonance with the university's mission and with Catholic liberal arts higher education and provide a statement of adherence to Ex Corde Ecclesiae.
Applicants should attach: a) a cover letter with a clear description of experience relevant to the position; b) a CV including a list of three references; c) a two-page statement of teaching philosophy, and d) a two-page statement of scholarship.
The review of applications will begin immediately and will continue until the position is filled.
The University of St. Thomas is an Equal Opportunity Employer

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