Statistics Internship Postings

Deseret Power - Quantitative Analyst Intern


Deseret Powers

Position Title:

Quantitative Analyst Intern

Post date:

Mon, 03/27/2017 - 09:53

Deseret Power is accepting resumes for the position of Quantitative Analyst Intern. This position is located in Deseret’s corporate offices in South Jordan, Utah (suburb of Salt Lake City) and may require occasional travel to offsite meetings.

Primary responsibilities will be to perform:
regression analysis
statistical analysis
energy market analysis
market settlements

Qualified applicant should have course experience in economics, statistics, operations research and some computer programming. In addition, the successful candidate will be familiar with VB/VBA, SQL and R (or comparable programming languages and analytical tools) along with Microsoft Office.

This internship is a compensated position which is expected to provide the successful candidate with valuable experience in the energy industry over the summer of 2017.

Deseret Power is a not-for-profit electric utility generation and transmission cooperative that supplies power to rural communities throughout Utah, Wyoming, Colorado, Arizona and Nevada. Deseret Power actively trades in Western wholesale electric markets.

Submit resume to Deseret Power, Attn: Human Resources, 10714 South Jordan Gateway, South Jordan, Utah, 84095 or submit online at All responses should be postmarked or transmitted via email on or before April 7, 2017.

Deseret Power is an Equal Opportunity Employer.

Science Undergraduate Laboratory Internships (SULI)


The Office of Science / US Department of Energy

Position Title:

Science Undergraduate Laboratory Internships (SULI)

Post date:

Thu, 03/23/2017 - 08:25

The Science Undergraduate Laboratory Internship (SULI) program encourages undergraduate students to pursue science, technology, engineering, and mathematics (STEM) careers by providing research experiences at the Department of Energy (DOE) laboratories. Selected students participate as interns appointed at one of 17 participating DOE laboratories/facilities. They perform research, under the guidance of laboratory staff scientists or engineers, on projects supporting the DOE mission.

The SULI program is sponsored and managed by the DOE Office of Science’s, Office of Workforce Development for Teachers and Scientists (WDTS) in collaboration with the DOE laboratories/facilities.

Applications for the SULI program are solicited annually for three separate internship terms. Internship appointments are 10 weeks in duration for the Summer Term (May through August) or 16 weeks in duration for the Fall (August through December) and Spring (January through May) Terms. Each DOE laboratory/facility offers different research opportunities; not all DOE laboratories/facilities offer internships during the Fall and Spring Terms.

The application system for the Term Science Undergraduate Laboratory Internships (SULI) program is currently open, with all applications due by 05:00 PM Eastern Time on May 31, 2017.

The Science Undergraduate Laboratory Internships (SULI) program places students from 2 and 4 year undergraduate institutions as paid interns in science and engineering research activities at DOE national laboratories and facilities, working with laboratory staff scientists and engineers on projects related to ongoing research programs. Appointments are for 16 weeks during the Fall term, are open to US Citizens and US Lawful Permanent Residents, include a weekly stipend, reimbursement for one round trip domestic travel to the participant’s host DOE laboratory, and possibilities for a housing allowance. More than 850 internships are sponsored annually.

Application is made online. Full program information and descriptions, including links to the online application system, are available at:

Organization website:

Description and Application

Data Analyst Intern - Kount



Position Title:

Data Analyst Intern

Post date:

Wed, 03/22/2017 - 11:27

Kount has an opening for a Data Scientist Intern in our Boise, Idaho office.

Data scientists need data, and Kount processes more than 2 million credit card transactions a day. We are looking for a Data Science Intern to join a team using machine learning to improve credit card fraud detection. The intern will work under the direction of experienced data scientists and developers to complete a project relevant to social networks, natural language processing, and recommender systems.


Completed junior year in a technical degree: CS, EE, Mathematics; preferably graduate student
Understanding theory and practical usage of machine learning methods
Programming in Python, R, Matlab, and/or Java
Statistics, probability, and linear algebra

Databases (SQL)
Experience with robotics or other automated decision-making

Paid Internship: We offer competitive pay and an unparalleled 12 week experience.
Skills Training: Enhance your data scientist skills while working on a real project.
Professional Development: Improve your communication skills as you work in our fun and friendly environment.
Mentorship: You will work with our experienced experts who will be available to guide and advise you along the way.
We value our interns and are willing to go the extra mile to ensure that you receive an experience that perfectly aligns with your career goals in an environment with casual attire, random nerf gun strikes, bacon & eggs at team breakfasts, and great views and access to Downtown Boise.

Qualified candidates should submit resumes to

Organization website:

Job Posting

Statistics Internship


Serious Energy

Position Title:

Statistics Internship

Post date:

Wed, 03/01/2017 - 08:16

December 9, 2016

• This is a hands-on project. It involves the use of statistics and big data
analytics tools to evaluate real data and develop real, practical algorithms
• The project is at the intersection of: Virtual Reality, gaming, human
psychology/health, human biometrics, human performance measurement
and big data/machine learning
• Company is an early stage startup developing virtual reality applications to
measure and treat pain
• Company is developing tools and algorithms to interpret biometric and user
data to determine levels of pain and performance. These tools will be used in
dynamically change VR therapies in real-time, and improve the therapies
over time (off-line analytics)
• Company aims to use standard statistical methods and advanced big data
analytics/machine learning tools to develop these proprietary algorithms
and tools

• This is a hands-on role:
o Designing statistical analyses / big data algorithms
o Developing statistical test procedures (e.g. DOE, etc.)
o Lead responsible for use of standard statistical and big data software
to analyze data
o Some basic coding (depending on skill set)
o Analyzing output data
o Iteratively improving algorithms
o Developing summary reports
• The role is part-time, but the work is lumpy with periods of focused work
when data becomes available from real-world testing
• The person will collaborate with a big data advisor on overall analytics
strategy, but will be the lead on actual performance: running the analytical
software, reviewing data, developing algorithms, summary reports
• The person will collaborate with a VR app development team (App Dev Team
will lead: integration of biometrics API’s into overall app, collecting the right
data from various devices to be able to do the data analysis, etc.)

This internship is for a person who has a passion for understanding what the
numbers say and what they mean, and knows how to use the latest tools to get to
answers faster. This is not the right role for someone who wants to do statistics
theory or simply wants to code/run big data software tools.

• Statistics: Strong/expert skills in applied statistics, and track record of
complex statistical analysis with real data. Solid background in DOE (design
of experiments)
o Familiarity with classical and Bayesian experimental design; linear
and nonlinear models with fixed, random, or mixed effects;
frequentist and Bayesian computation.
o Comfortable with use of mathematical statistics for first principles
derivation of the properties of new methodologies.
• Statistics Tools: Strong skills in software frequently used for statistical
analysis – R, Matlab, etc.
• Big Data & Machine Learning: Strong basic foundation in modern big data
analytics and machine learning
• Passion: This is a hands-on role with messy, real-world data. It requires not
only a strong foundation in applied statistics but a comfort-level with and
passion for analyzing real data. A passion for the subject matter: biometrics,
human performance measures, pain management/human health
• Ability for independent thinking and passion for learning new methods and
big data tools
• Utilizing machine learning techniques for feature extraction from rich
physical and computational data streams.

• Graduate student/PhD candidate in Statistics, Applied Mathematics or Big
Data / Machine Learning
• Some programming experience with python, C/C++/C#, etc.
• The ideal person (includes NICE-TO-HAVE’S)
o Statistics or big data graduate student with expert applied statistics
skills and experience in real-world data analytics
o Experience with video game analytics
o Experience in biometrics/bio-systems (e.g. HRV, GSR, EEG, eye
tracking) and/or human performance
o Experience in real-world application of Machine Learning, Deep
Learning, Neural Networks
o Solid programming skills (C#, Unity, other)

Contact Tissilo Baeurele directly at his email if interested: