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Weekend Data Science Jobs in Springfield, MO (NOW HIRING)

Data Engineer

Springfield, MO · On-site

$104K - $125K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Availability to work overnight shifts and be on call during off-hours and weekends as needed * Due ... science-based solutions, data-driven insights and world-class service to advance food safety ...

Availability to work overnight shifts and be on call during off-hours and weekends as needed * Due ... science-based solutions, data-driven insights and world-class service to advance food safety ...

... weekend. * Provide the appropriate level of leadership, supervision, and training/development to ... A bachelor's degree in science, production management, business management, and/or engineering ...

Weekend Data Science information

See Springfield, MO salary details

$34.1K

$111.6K

$178.7K

How much do weekend data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for weekend data science in Springfield, MO is $111,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $123,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What is a Weekend Data Science job?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What are some typical challenges faced by data scientists working specifically on weekends, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

What are the most commonly searched types of Data Science jobs in Springfield, MO? The most popular types of Data Science jobs in Springfield, MO are:
What are popular job titles related to Weekend Data Science jobs in Springfield, MO? For Weekend Data Science jobs in Springfield, MO, the most frequently searched job titles are:
What cities near Springfield, MO are hiring for Weekend Data Science jobs? Cities near Springfield, MO with the most Weekend Data Science job openings:
Data Research Analyst - OPHI

Data Research Analyst - OPHI

Missouri State University

Springfield, MO • On-site

$26.87 - $30/hr

Full-time

Posted 15 days ago


Missouri State University rating

6.3

Company rating: 6.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

459th of 538 rated colleges and universities


Job description

Posting Details
Position Information
Position Title
Data Research Analyst - OPHI
Work Location
Springfield Campus
Department
Ozarks Public Health Institute
HR Home Department
020105 OZARKS PUBLIC HEALTH
Pay Grade
34
Proposed Salary
$26.87 - $30.00 an hour
Sponsorship Information
Applicants must be currently authorized to work for ANY employer in the United States on a full-time basis. This position is not eligible for work visa sponsorship.
Position only available to current, regular, full-time Missouri State University employees?
No, Position is available to all applicants.
Appointment Type
Full Time Regular
Exempt/Non-Exempt
Non-Exempt
General Function
The Data Research Analyst - OPHI will be primarily responsible for conducting the community indicators analysis as well as responsible for building, maintaining, and communicating a comprehensive library of local data that supports Community Focus's mission to foster informed, collective action in the Springfield metropolitan region. This position plays a central role in transforming complex, multi-source datasets into accessible, accurate, and compelling data products.
The Analyst will work closely with the Community Focus Facilitator, external stakeholders, and steering committee members to ensure that data is not only collected and managed with rigor but communicated in ways that are meaningful and actionable for a range of audiences, from community coalitions and policymakers to academics and the general public.
Description of Primary Duties
1. Develops, maintains, and expands a comprehensive library of community indicators across domains such as education, health, housing, economic development, and public safety.
2. Identifies, collects, and manages data from diverse public, partner, and survey-based sources, including federal agencies and local organizations; designs and administers community surveys using platforms such as Qualtrics.
3. Establishes and enforces data quality, documentation, and reproducibility standards, including documenting sources, methodologies, and updates schedules to ensure transparency, accuracy, and continuity.
4. Conducts statistical analyses and program evaluation to identify trends, patterns, and insights, and to assess progress and impact of community programs and policy initiatives.
5. Creates clear and compelling data products, including charts, infographics, dashboards, data briefs, and reports for audiences ranging from community coalitions to the general public.
6. Produces research briefs, topic reports, and narrative summaries that translate data findings into accessible, actionable community insights and supports biennial, annual, and grant-related reporting.
7. Reviews and validates all data outputs to ensure accuracy, clarity, and quality prior to publication or distribution.
8. Responds to data requests from community partners, policymakers, researchers, and internal stakeholders in a timely and professional manner.
9. Collaborates with program leadership, steering committees, and organizational colleagues to define data needs, indicator frameworks, reporting priorities, and cross-program data initiatives.
10. Communicates findings effectively to non-technical audiences and supports the development and stewardship of relationships with data partners and community stakeholders.
11. Supervises and supports graduate assistants and student researchers engaged in data collection, analysis, and visualization activities.
12.Contributes to program operations and credibility by developing internal tools and resources, supporting continuous improvement, and upholding the public image of Community Focus and OPHI.
Minimum Acceptable Qualifications
Education: A Bachelor's degree in statistics, data science, social science research, public health, or a related field is required. A Master's degree is preferred. An equivalent combination of education, training, and experience may be considered.
Experience: Minimum of two years' experience in data collection, analysis, and visualization, preferably in a research or community-facing setting. Experience producing data reports and visualizations for non-technical audiences using tools such as R, Tableau, and Excel (Python and SQL preferred). Experience designing and administering surveys (e.g., Qualtrics) and working with public-sector or community datasets. Ability to independently manage complex analytical projects with a focus on data quality, reproducibility, and transparency. Experience with program evaluation, grant-funded environments, or supervision of student researchers preferred.
Skills: Strong analytical and statistical skills, including data cleaning and descriptive analysis, with the ability to create clear, accurate, and visually compelling charts, infographics, and dashboard-ready outputs. Proficient in Microsoft Excel and other Office applications, with working knowledge of SQL and relational databases preferred. Excellent technical and narrative writing skills, with the ability to translate quantitative findings into accessible insights for reporting purposes. Demonstrated attention to detail, commitment to data quality, and strong project management skills, including managing multiple priorities simultaneously. Ability to work independently and collaboratively, with effective interpersonal and communication skills to engage partners and stakeholders. Adaptable mindset with a focus on continuous improvement and evolving program needs.
Other: This position is grant funded. Continuation of this position is contingent upon available grant or contract funding.
Additional Qualifications
Link to Job Description
https://www.missouristate.edu/Human/JobDescriptions/5165.htm
Open Date
06/04/2026
Close Date (If Close Date is blank then the posting is considered open until filled)
Special Instructions to Applicants
First date of consideration will be June 18, 2026. Review of applications will continue until filled.
This position is grant funded. Continuation of this position is contingent upon available grant or contract funding. The Data Research Analyst may supervise student workers and graduate research assistants in support of data collection, analysis, and visualization tasks.
Equal Opportunity Statement
Non-Discrimination Statement
Missouri State University is a community of people with respect for diversity. The University emphasizes the dignity and equality common to all persons and adheres to a strict non-discrimination policy regarding the treatment of individual faculty, staff, and students. In accord with federal law and applicable Missouri statutes, the University does not discriminate on the basis of race, color, national origin (including ancestry, or any other subcategory of national origin recognized by applicable law), religion, sex (including marital status, family status, pregnancy, sexual orientation, gender identity, gender expression, or any other subcategory of sex recognized by applicable law), age, disability, veteran status, genetic information, or any other basis protected by applicable law in employment or in any program or activity offered or sponsored by the University. Sex discrimination encompasses sexual harassment, which includes sexual violence, and is strictly prohibited by Title IX of the Education Amendments of 1972.
This policy shall not be interpreted in a manner as to violate the legal rights of religious organizations or of military organizations associated with the Armed Forces of the United States of America.
The University maintains a grievance procedure incorporating due process available to any person who believes he or she has been discriminated against. Missouri State University is an Equal Opportunity employer. Inquiries concerning the complaint/grievance procedure related to discrimination on the basis of a protected class, including sexual harassment and sexual assault, or compliance with federal and state laws and guidelines, should be addressed to the Director, Office for Institutional Compliance, Carrington Hall 205, 901 S. National Ave., Springfield, Missouri 65897, Compliance@MissouriState.edu, 417-836-4252.
Background Check Statement
Employment will require a criminal background check at University expense.
Posting Detail
Posting Number
20260143FTS
Quicklink for Posting
https://jobs.missouristate.edu/postings/86618

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