Summer Internship Opportunity with the Federal Reserve Board

The Federal Reserve Board is currently looking for a summer intern. This opportunity was shared by a recent Cal Poly Stats graduate who had an internship there!

They are interested in students with a background in Statistics or data analysis. This could be a great fit for Stats majors who are curious about careers in the financial sector or economic policy.

One important note: applicants must be planning to return to school after the summer.

About the Team

The Supervisory Oversight function consisting of the LISCC Oversight (LOS) and Reserve Bank Oversight (RBOS) sections is responsible for the oversight of the Federal Reserve System’s supervision programs. LOS independently assesses the effectiveness of the LISCC supervisory program on an annual basis, through continuous monitoring (CM), as well as risk-focused, point-in-time reviews to ensure that LISCC personnel exercise sound supervisory judgment and operate the program in accordance with System and program guidance. RBOS is primarily responsible for coordinating Board staff execution of the Reserve Bank oversight program that results in the annual assessment of each Reserve Bank’s supervision program.

The Supervisory Oversight function consisting of the LISCC Oversight (LOS) and Reserve Bank Oversight (RBOS) sections is responsible for the oversight of the Federal Reserve System’s supervision programs. LOS independently assesses the effectiveness of the LISCC supervisory program on an annual basis, through continuous monitoring (CM), as well as risk-focused, point-in-time reviews to ensure that LISCC personnel exercise sound supervisory judgment and operate the program in accordance with System and program guidance. RBOS is primarily responsible for coordinating Board staff execution of the Reserve Bank oversight program that results in the annual assessment of each Reserve Bank’s supervision program. 

About the Role

The intern will support Supervisory Oversight staff and management on a variety of important initiatives.  Supervisory Oversight leadership will assign the intern various projects that improve efficiency in the Supervisory Oversight function. The intern will assist Supervisory Oversight in enhancing records management and the use of collaboration tools, such as SharePoint. Assignments may also include documented research, stakeholder interviews, PowerPoint presentations, and implementing improvements to the Supervisory Oversight teams’ use of Microsoft SharePoint and Project On-line to promote strategic planning and resource and records management efficiencies. In addition, the intern will review LOS’ internal operational processes and assist with making enhancements to existing workflows while replicating identified operational efficiencies in RBOS. The intern will also assist the LOS review team members with any technical aspects of any reviews planned during the intern’s time working with the team. These assignments could include but are not limited to, assisting with the assessing of built in quality control processes as well as communication between applications used by LISCC.

 

If you are interested:

• Application Link: https://frbog.taleo.net/careersection/1/moresearch.ftl?lang=en

• Job Number: R025194 (You'll need to manually search this number on the site)

Feel free to explore the job listings site as there are several great opportunities that may be of interest to Stats majors.

Rice University - Master of Statistics Virtual Information Sessions

 Explore Rice University's Engineering Professional Master's Programs

The Engineering Progressional Master's Programs (EPMP) in the George R. Brown School of Engineering and Computing at Rice University is empowering the next generation of leaders with strong technical and data science skills, creative problem solving and the ability to integrate across disciplines to address humankind's most pressing problems.

The Master of Statistics (MSTAT) is a non-thesis degree that offers customized and individualized programs based on the interests and career objectives of the student. All choices will provide balanced training in statistical methods, computational statistics, and statistical theory, and are intended to prepare the student to adapt statistical methodologies to practical problems in a professional setting. The program normally takes three semesters of full-time course work. Students are restricted to no more than four courses in their first semester, with three being preferable. It is possible to complete the program on a part-time basis too.

The program is available on a full or part-time basis and takes advantage of its location in Houston, Texas and the wide variety of industries in close proximity to the Rice campus. 

Early applicants are given priority and are eligible for top-tier scholarships opportunities. 

Join Our Virtual Information Session

Discover how Rice's Master of Statistics program can accelerate your career. This virtual session features direct insights from Program Director Dr. Michael Jackson, a comprehensive overview of curriculum and specializations, details about the application process and admission requirements.

Wednesday, September 24, 2025 at 7:00 PM until 8:00 PM CST

Wednesday, October 29, 2025 at 7:00 PM until 8:00 PM CST

Wednesday, November 19, 2025 at 7:00 PM until 8:00 PM CST

Wednesday, January 14, 2026 at 7:00 PM until 8:00 PM CST

Copyright © *2025* *Rice University - Engineering Professional Master's*, All rights reserved.

Internship opportunity! The Dept of Social Services is hiring interns!

Hello students! 

Please see the message below for internship opportunities with the Department of Social Services Office in SLO. Feel free to share with other interested students as well .There are 8 positions available, and the requirements align very closely with what statisticians do 🙂

Good luck!

The Homeless Services Division in the Department of Social Services is hiring student interns to assist in the implementation of the 2026 Homeless Point-in-Time Count. The Point-in-Time (PIT) Count is a countywide, biannual homeless census required by the US Department of Housing and Urban Development (HUD). Learn about the Point-in-Time Count at: slocounty.gov/PITCount

 

Interns will assist in such professional duties as: communications, volunteer management, gathering, compiling, and analyzing data, report writing, data visualizations, research, federal compliance, and more.

 

Available Positions:

There are six (6) positions available for PIT Count interns.

• $20/hour; 12-15 hours per week; up to 12 weeks
• Hybrid work environment, telecommuting with onsite opportunity
• Ideal start date on or before the week of November 3, 2025

The last day to be considered for the PIT Count Intern is Wednesday, October 1, 2025.

 

There are two (2) positions available for Data interns.

• $20/hour; 12-15 hours per week; up to 12 weeks
• Hybrid work environment, telecommuting with onsite opportunity
• Ideal start date on or before the week of January 19, 2026

Applications for the Data Intern position will be considered until November 1, 2025.

 

How to Apply

• Complete an online application for the “Intern/Trainee” position at: www.governmentjobs.com for the County of San Luis Obispo.
• Select the Department of Social Services when prompted.
• Only applications with the Department of Social Services selected will be considered for this opportunity.
• Candidates will complete a written evaluation following successful application submission.

 

For More Information

Contact Kari Howell, program manager: 805-806-7538 and khowell@co.slo.ca.us

 

 

Kari Howell, MEd

she, her, hers

Homelessness Data Program Manager, Homeless Services

Department of Social Services

Cell: 805-806-7538

The 2026 PIT Count: Counting Every Person Because Every Person Counts.

 

Orientation meeting: 2026 MCM (Math. Contest in Modeling)

 Please see the message below from  Cal Poly math professor Dr. Camp about participating in MCM! 

Hi everyone,

I'm the coach for the Cal Poly teams in an international competition in mathematical modeling -- the Mathematical Contest in Modeling (or MCM). I'm holding a pair of orientation meetings for the 2026 MCM. If you're interested, please attend one or email me if can't make either. Details about the contest and Math 371 are included below.

• on-campus: Mon., Sep. 22, 6:10-7:00pm, 38-135
• by zoom: Tue., Sep. 23, 6:10-7:00pm, zoom link

2026 MCM  (WQ26) and Math 371 (FQ25)

The MCM is held every year over 4 days in January or February; this year, it will take place Jan. 29 — Feb. 2, 2026.   It is open to any undergraduate student currently enrolled at Cal Poly (full or part time) and is appropriate for students at any level: first-year students to those about to graduate. It is open to any major as well -- it can be a competitive advantage in the MCM to have an interdisciplinary team. You can get further information about the contest on the contest's website: COMAP-MCM

We offer a 2-unit support course, Math 371, to coach the teams competing in the MCM. This year, Math 371 will be offered in the Fall quarter (FQ25), MW 6-7pm, 38-135. You do not need to enroll in Math 371 to compete in the MCM, but it's strongly recommended that you do -- especially if you have not competed in the MCM before. 

If you are interested in the competition, please attend the first meeting for Math 371 which doubles as an orientation meeting for the contest. This meeting will be Mon., Sep. 25, 6:10-7:00pm in room 38-135. If you cannot attend this meeting, there will be another orientation meeting held online via Zoom, Tue., Sep. 26, 6:10-7:00pm, at this meeting ID (81217633497). (A complete zoom invitation is included below.) Please email me If you are interested in the contest or the course but cannot attend either orientation meeting.

-Dave Camp

----------------------------------------------------------------------------

Charles D. Camp                                  Office: 25-309 (FOE)

Professor                                               Ph. #: +1 (805) 756-1661

Cal Poly - Mathematics Dept             Fax #: +1 (805) 756-6537

1 Grand Ave                                          Email: camp'at'calpoly.edu

San Luis Obispo, CA 93442                 Pronouns: he/him/his

Cal Poly Baseball Job Opportunities

Are you passionate about baseball or interested in applying your skills to have a direct impact on decision-making and on-field strategy for the Cal Poly baseball team? We are looking for new student managers for the 2025-26 season to join our team and help the Mustangs make another playoff run! Our student manager program provides a great opportunity to gain valuable experience in sports analytics and support the day-to-day operations of a collegiate baseball program. We work with systems such as KinaTrax and Trackman to assist coaches and players in on-field performance and player development. 

We are looking to hire student managers to four different roles: Player Development Analyst, Quantitative Analyst, Data Engineer, and Biomechanics Analyst (Kinesiology or adjacent majors wanted). Click this LINK to see descriptions of these positions.

There is no prior experience needed, we are looking for passionate people that work well in a team and are willing to learn!

If you are interested in an interview, please fill out our application and we will reach out to you shortly!

LINK TO THE APPLICATION

Best,

The Cal Poly Baseball Analytics Team

The University of Michigan’s Department of Biostatistics is offering three in-person opportunities this fall-- plus another virtual-only session

Biostatistics and health data science are fields that bring statistical methods, mathematics, and computing together to solve critical problems in public health and medicine. From modeling disease outbreaks to developing fair clinical AI tools, these disciplines equip students with rigorous quantitative skills applied directly to real-world health challenges.

This fall, the University of Michigan’s Department of Biostatistics is offering three in-person opportunities -- plus another virtual-only session -- designed for students exploring graduate study in these areas.

These events are ideal for students in mathematics, statistics, computer science, biology, public health, or many other related fields who want to see how their training can translate into impactful careers.

Biostatistics Prospective Student Day Saturday, Sept. 20 | 9:00am - 1:00pm | School of Public Health This is the main prospective student event for those who can attend in-person. Hear from current students and faculty about how backgrounds in fields like biology, neuroscience, public health, psychology, or others have shaped their graduate experience. Discover how methods like causal inference and longitudinal modeling complement a scientific mindset—and how a degree in biostatistics can lead to new types of impact. Breakfast and lunch are provided. More Information About 2025 Prospective Student Day

Quantitative Major?

Science Major?

Data Science Major?

Biostatistics Hackathon 2.0 Saturday, Sept. 27 | 10:00am - 4:00pm | School of Public Health

Join a team to explore real-world public health data. With mentorship from Michigan Biostatistics faculty, you’ll tackle an investigative challenge—drawing evidence-based insights from messy, meaningful data. It’s a low-stakes way to apply your curiosity, critical thinking, and research skills in a new light. Meals are provided.

Register for the Biostatistics Hackathon 2.0

School of Public Health Prospective Student Day Saturday, Oct. 11 | 8:30am - 1:00pm | School of Public Health

All prospective students are invited to this special event to learn more about the School of Public Health at the University of Michigan, in addition to attending a dedicated breakout session with the Department of Biostatistics. Learn about the field of biostatistics, the degree programs at Michigan, career paths after graduation, and much more. Meals are provided.

Register for the School of Public Health Prospective Student Day

Biostatistics Virtual Department Information Session Thursday, Oct. 16 | 7:00pm ET - 8:30pm ET | Virtual via Zoom This is the only prospective student event for those who cannot attend in-person. Hear from current students and faculty about how backgrounds in fields like biology, neuroscience, public health, psychology, or others have shaped their graduate experience. Discover how methods like causal inference and longitudinal modeling complement a scientific mindset—and how a degree in biostatistics can lead to new types of impact. Register for Virtual Department Information Session

Quantitative Major?

Science Major?

Data Science Major?

Want to Learn More?

Students who are interested in turning data into action across the spectrum of health-related fields and beyond are encouraged to sign up to receive more information at the link below. The Department of Biostatistics and the School of Public Health will keep you up-to-date on the latest in Michigan Biostatistics and keep you informed on the application process.

I am Interested in More Information About Michigan Biostatistics