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Volunteer Computer Data Scientist Jobs in Wisconsin

Mathematics, statistics, computer science, data science or field directly related to the position ... Volunteer work helps build critical competencies; knowledge, and skills and can provide valuable ...

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc * BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or ...

Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience.

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...

Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine ...

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...

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Volunteer Computer Data Scientist information

What is the difference between Volunteer Computer Data Scientist vs Volunteer Data Analyst?

AspectVolunteer Computer Data ScientistVolunteer Data Analyst
Required CredentialsBasic programming skills, knowledge of data science toolsData analysis skills, proficiency in Excel, SQL
Work EnvironmentCollaborative projects, nonprofit or research settingsData interpretation, reporting in nonprofit or community projects
Employer & Industry UsageResearch institutions, nonprofits, tech startupsNonprofits, community organizations, small businesses

Volunteer Computer Data Scientists and Volunteer Data Analysts often share similar skills like data handling and analysis. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are vital in nonprofit and research settings, but data scientists usually require more technical expertise in programming and machine learning.

What are the most commonly searched types of Computer Data Scientist jobs in Wisconsin? The most popular types of Computer Data Scientist jobs in Wisconsin are:
What cities in Wisconsin are hiring for Volunteer Computer Data Scientist jobs? Cities in Wisconsin with the most Volunteer Computer Data Scientist job openings:

$147K/yr

Other

Posted 12 days ago


U.S. Department Of Commerce rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

119th of 841 rated public administrative organizations


Job description

This position is located in the National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for Environmental Information (NCEI), Data Stewardship Division (DSD), with 1 vacancy in Silver Spring, MD; Lanham, MD; Riverdale, MD; Suitland, MD; Boulder, CO; Fort Collins, CO; College Park, MD; Greenbelt, MD; Stennis Space Center, MS; Asheville, NC; or Madison, WI.Qualifications:

Qualification requirements in the vacancy announcements are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook, which contains federal qualification standards. This handbook is available on the Office of Personnel Management's website located at: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/
BASIC REQUIREMENTS: This position requires applicants to meet a Basic Education Requirement in addition to at least one full year (52 weeks) of specialized experience in order to be found minimally qualified. Transcripts must be submitted with your application package. You MUST meet one of the following basic education requirements:
To qualify for the 1560 series:
EDUCATION:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
-AND-
SPECIALIZED EXPERIENCE: Applicants must possess one year of specialized experience equivalent in difficulty and responsibility to the next lower grade level in the Federal Service. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills and abilities to successfully perform the duties of the position. This experience need not have been in the federal government.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations e.g., professional; philanthropic, religious; spiritual; community, student, social). Volunteer work helps build critical competencies; knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
To qualify at the ZP-5 or GS-15 level:
SPECIALIZED EXPERIENCE: In addition to meeting the Basic Requirements above, applicants must also possess one full year (52 weeks) of specialized experience equivalent to the ZP-4 or GS-14 in the Federal service. Specialized experience MUST include all of the following:

  • Designing or implementing artificial intelligence and machine learning models to analyze or interpret environmental data;
  • Developing automated workflows utilizing statistical and mathematical techniques; and
  • Providing guidance or consultations to scientific professionals in areas such as environmental data acquisition, processing, data basing, or information generation and visualization.
Education:

Substitution of education for specialized experience is not applicable to this vacancy.
College Transcript:If you are qualifying based on education, submit a copy of your college transcript that lists college courses detailing each course by the number and department (i.e., Bio 101, Math 210, etc.), name of accredited institution, course title, number of credit hours and grade earned. You must submit evidence that any education completed in a foreign institution is equivalent to U.S. education standards with your resume. You may submit an unofficial copy of the transcript at the initial phase of the application process. If course content cannot be easily identified from the title of the course as listed on your transcript, you must submit an official course description from the college/university that reflects the content at the time the course was taken.
Note: Your college transcript is used to verify successful completion of degree, or college course work. An official college transcript will be required before you can report to duty.
Education completed in colleges or universities outside the United States may be used to meet the above requirements. You must provide acceptable documentation that the foreign education is comparable to that received in an accredited educational institution in the United States. For more information on how foreign education is evaluated, visit: OPM Foreign Education Evaluation.

Employment Type: OTHER

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