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Data Science Associate Jobs in South Dakota (NOW HIRING)

Poet

Data Engineer

Sioux Falls, SD

$113K - $136K/yr

The Data Engineer will build reliable systems to enable analytics and ensure the timely capture and ... Bachelor's or Associate's degree is required. Degrees in Engineering, Computer Science, or a hard ...

POET LLC

Data Engineer

Sioux Falls, SD · On-site

$113K - $136K/yr

The Data Engineer will build reliable systems to enable analytics and ensure the timely capture and ... Bachelor's or Associate's degree is required. Degrees in Engineering, Computer Science, or a hard ...

POET

Data Engineer

Sioux Falls, SD · On-site

$113K - $136K/yr

The Data Engineer will build reliable systems to enable analytics and ensure the timely capture and ... Bachelor's or Associate's degree is required. Degrees in Engineering, Computer Science, or a hard ...

SGS

Crop Science Technologist I

Brookings, SD · On-site

Will approve data without the direction of supervisor * Initiative and independent judgment are ... Associate's degree in an Agricultural or science-related program (Biology, Chemistry, Biochemistry ...

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Data Science Associate information

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$57.5K

$68K

$129K

How much do data science associate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science associate in South Dakota is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in South Dakota?

The most popular types of Data Science jobs in South Dakota are:

What job categories do people searching Data Science Associate jobs in South Dakota look for?

The top searched job categories for Data Science Associate jobs in South Dakota are:

What cities in South Dakota are hiring for Data Science Associate jobs?

Cities in South Dakota with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in South Dakota as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $68,039 per year, or $32.7 per hour.

Data Services Librarian

The University of South Dakota

Vermillion, SD • On-site

$65K - $75K/yr

Full-time

Re-posted 18 days ago

University Of South Dakota rating

9.2

Company rating: 9.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

15th of 618 rated colleges and universities

Job description

Posting Details
Posting Details
Logo
Institution
The University of South Dakota
Working Title
Data Services Librarian
Posting Number
F01867P
Department
USD-Libraries
Physical Location of Position (City)
Vermillion
Posting Text
The University Libraries of the University of South Dakota seeks a motivated individual to serve as a core team member of the Digital Scholarship and Research Services initiative.
The successful candidate will proactively collaborate with students, faculty, and staff to support their information and data needs, helping them transform information into scholarship.
As a member of the University Libraries faculty, the Data Services Librarian:
  • Joins the University Libraries' Digital Scholarship and Research Services initiative to develop and offer workshops on data analysis, data visualization, data management, and more.
  • Serves on the University Libraries' Instruction team to teach information literacy sessions that support the University's General Education curriculum.
  • Excels as a liaison to divisions, centers, and programs within the Beacom School of Business and other assigned academic programs.

Specific responsibilities include:
  • Advancing the University Libraries' Digital Scholarship and Research Services initiative by developing and delivering workshops on data science tools and skills, helping to manage and promote the Virtual Reality Lab, and staying up-to-date on emerging trends and changes in technologies related to data science (i.e., AI).
  • Providing statistical and other data-related support for the USD Sanford School of Medicine graduate and residency programs, including holding regular office hours for consultations.
  • Promoting the NIH's All of Us biomedical database by keeping up-to-date on developments, maintaining Controlled Access by completing the annual trainings, and teaching various groups and departments about storing and analyzing data with the Researcher Workbench.
  • Serving as a liaison to the Beacom School students and faculty by promoting and supporting the discovery, use, and management of data; conducting reference and research assistance consultations; providing course-integrated instruction; and creating and maintaining research guides, online tutorials, and other teaching and learning tools.
  • Assisting students and faculty in transforming information into research-ready formats.
  • Promoting services that advance and support Open Access (OA) publishing and Open Data initiatives.
  • Faculty of the University Libraries carry service assignments and may be assigned research and scholarship loads.

Minimum Qualifications:
  • Master's degree in Library and Information Science from an ALA-accredited program or a master's degree in a related field such as data science, statistics, computer science, or a relevant discipline;
  • A minimum of two years of professional experience in an academic or research library or in a data-focused role;
  • Demonstrated experience with statistical analysis and data science tools and software (e.g., R, Python, SPSS, Stata, or similar);
  • Evidence of effective teaching or instructional experience, including workshops, classroom instruction, or one-on-one consultations;
  • Demonstrated ability to work independently and collaboratively with diverse groups and departments;
  • Strong written and verbal communication skills.

Desirable Qualifications:
  • Experience providing research data services in an academic library or similar environment;
  • Experience with scholarly publishing at institutions of higher education;
  • Familiarity with research data management practices, including data management plans and funder requirements;
  • Knowledge of data curation, preservation, and sharing, including FAIR data principles;
  • Experience with data visualization tools (e.g., Tableau, Power BI) or GIS platforms;
  • Demonstrated experience supporting faculty and students in data-intensive research;
  • Experience developing and delivering data literacy or data science instruction;
  • Familiarity with open science practices, including open data, OA, and OER;
  • Experience assessing user needs and developing data-related services or programs.

Position reports to the Associate Dean for Teaching, Learning, and Research Services.
Application Procedure: Apply on-line at https://yourfuture.sdbor.edu/ by submitting a curriculum vita, a letter addressing required qualifications, and complete contact information for at least 3 professional references.
Posting Date
06/01/2026
Closing Date
Open Until Filled
Yes
First Consideration Date
07/01/2026
Advertised Salary
$65,000-$75,000
Duration of the Term
12 months
If Other, describe duration
Appointment Percent
100%
Tenure Status
Librarian
Proposed Rank
Assistant Librarian
Work Hours
Typically Monday-Friday 8:00am-5:00pm. Some evenings and weekends required.
Typical Hours Worked Per Week
40-45
Appointment Type
Regular
Scope of Search
External (includes Internal)
If internal, define scope of search
Department Description and Cultural Expectations
Founded in 1862 and the first university in the Dakotas, the University of South Dakota is the only public liberal arts university in the state, with undergraduate and graduate programs in the College of Arts & Sciences, School of Education, Knudson School of Law, Sanford School of Medicine, School of Health Sciences, Beacom School of Business, and College of Fine Arts. In research, USD is among the nation's Doctoral Universities with High Research Activity (Carnegie Classification).
Equal Employment Opportunity Statement
USD is committed to fostering a dynamic and welcoming working and learning environment for all. USD provides equal employment opportunities to all employees and applicants for employment without regard to ideological, political, or sectarian opinions or perspectives; or race, color, creed, religion, sex, ancestry, disability, national origin or any other factor protected by applicable federal, state, or local laws. USD is committed to the principles of free expression and encourages the timely and rational discussion of topics in an environment that is intellectually and ideologically diverse.
Contact Information
USD Human Resources, hr@usd.edu

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