Statistics Internship Postings

Science Undergraduate Laboratory Internships (SULI)

Organization:

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: http://science.energy.gov/wdts/suli/

Organization website:

Description and Application

Data Analyst Intern - Kount

Organization:

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.

Required

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
Desired

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

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 jobs@kount.com.

Organization website:

Job Posting

Statistics Internship

Organization:

Serious Energy

Position Title:

Statistics Internship

Post date:

Wed, 03/01/2017 - 08:16

INTERNSHIP DESCRIPTION
STATISTICIAN / BIG DATA ANALYTICS
December 9, 2016

PROJECT DESCRIPTION
• 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

ROLE DESCRIPTION
• 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.)

REQUIREMENTS
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.

MUST HAVE’S
• 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.

PREFERRED
• 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: tassilo.baeuerle@gmail.com.

Data Analyst - Intermountain Healthcare

Organization:

Intermountain Healthcare

Position Title:

Data Analyst

Post date:

Tue, 02/14/2017 - 12:01

Job Description
This position supports the Analytic Technology Team within the Data and Analytics Services Department and will be responsible for writing queries to pull data from the hospital medical systems to produce reports and analysis of data. This person will be trained in the systems and reporting tools (eg, Cognos, Tableau, etc.) that are used within Intermountain Healthcare and gain an understanding of analytics within the company.

Essential Job Duties
• 1. Participates and is involved in a variety of projects that support the needs of the department / facility. Works with the members of the team to identify solutions and perform tasks that accomplish individual and team goals.
• 2. Attends team / department meetings and actively participate / take on opportunities to share knowledge and skills that are pertinent to the meeting.
• 3. Gains knowledge of the department's / facilities functions. May job shadow various roles within the department in order to understand their role in the organization.
• 4. Works with other members of the department / facility to accomplish assigned tasks.
• 5. Project Assistance: May be assigned one or more specific projects during the internship. Demonstrates an understanding of the process and accountability for the results / outcomes. Works independently or as a member of a team to accomplish the tasks necessary to successfully complete the project. Involves others when needed in a timely manner and work to meet project timelines.
• 6. Miscellaneous: Provides staff operational / clerical support to the department / facility as needed.

Posting Specifics
• Rate: $18.00
• Benefits Eligible: No
• Shift Details: 15-20 hours/week flexible
• One year commitment
• Department: 11400-44082 BI Development
• Location: Utah Valley Hospital

Minimum Requirements
• Student in business fields (Statistics, Mathematics, Information Systems, Computer Science, Finance, Economics, Etc.) who is in their third or fourth year of an undergraduate program at an accredited institution. Education is verified.
• Experience using word processing, spreadsheet, database, internet and e-mail and scheduling applications.
• Experience in a role requiring effective verbal, written and interpersonal communication skills.

Physical Requirements
• Speaking, hearing / listening, seeing, manual dexterity

Skills
Computer/Data analysis, Computer/Microsoft Office, Computer/Database systems

Salary Level
Entry Rate: $18.00

Job Function
Business, Information Systems

Desired Start Date
May 1, 2017

Organization website:

Job Posting

Data Analyst Intern - LGCY Power

Organization:

LGCY Power

Position Title:

Data Analyst Intern - LGCY Power

Post date:

Tue, 12/06/2016 - 15:03

LGCY Power is seeking qualified candidates for a Business Operations Analyst Intern position in Lehi, UT. Candidates for this position should possess solid analytical skills and demonstrate excellent academic and extracurricular achievement. This is a paid internship.

LGCY Power is a leading producer of residential solar contracts in the United States and offers solar energy at little to no upfront cost. LGCY Power provides immediate electricity bill savings while empowering residential homeowners to reduce their carbon footprint and create a planet run by the sun.

Schedule:

§ Part-time (20 – 30 Hours per week)

§ Minimum 6 month commitment required

§ Based on performance and business need this position may transition to a full-time position

Application Instructions:

§ Resumes due by noon on Tuesday, December 20

§ Please submit resumes to hr@lgcypower.com

§ Refer to the attached document for more information

§ Please include GPA and expected graduation date in your resume

§ All applicants will be required to complete a data analysis case study prior to final interviews