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Entry Level Data Science Jobs in Kansas (NOW HIRING)

US Neuro

Trainee Surgical Neurophysiologist

Wichita, KS · On-site

This is an entry-level opportunity that offers paid training and mentorship in the growing field of ... No prior neurodiagnostic experience is required-just a strong work ethic, a scientific mindset, and ...

US Neuro

Trainee Surgical Neurophysiologist

Wichita, KS · On-site

This is an entry-level opportunity that offers paid training and mentorship in the growing field of ... No prior neurodiagnostic experience is required-just a strong work ethic, a scientific mindset, and ...

Actalent

Environmental Inspector

Olathe, KS

$19 - $23/hr

... well as entry-level candidates with relevant construction, asbestos, mold, or environmental ... Office-based work includes reviewing data, completing reports, and maintaining documentation in a ...

DataMap

ERP Analyst I

Overland Park, KS

$60K - $100K/yr

Role Overview We are hiring an ERP Analyst I , an entry-level role for professionals eager to ... Support data migration, system integrations, and functional testing . * Document business ...

Datavant

Health Information Specialist I

Manhattan, KS · On-site

$88K - $88K/yr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... sciences companies. From fulfilling a single patient's request for their medical records to ...

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All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Kansas

Entry Level Data Science information

See Kansas salary details

$9

$16

$24

How much do entry level data science jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for entry level data science in Kansas is $16.99, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.09 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Kansas? The most popular types of Data Science jobs in Kansas are:
What are popular job titles related to Entry Level Data Science jobs in Kansas? For Entry Level Data Science jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Kansas look for? The top searched job categories for Entry Level Data Science jobs in Kansas are:
What cities in Kansas are hiring for Entry Level Data Science jobs? Cities in Kansas with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Kansas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $35,343 per year, or $17 per hour.
Quality and Safety Outcomes Coordinator

Quality and Safety Outcomes Coordinator

The University of Kansas Health System

Kansas City, KS • On-site

Full-time

Posted 12 days ago

University Of Kansas Health System rating

7.5

Company rating: 7.5 out of 10

Based on 174 frontline employees who took The Breakroom Quiz

231st of 882 rated healthcare providers

Job description

Position Title
Quality and Safety Outcomes CoordinatorRainbow 3950Position Summary / Career Interest:The Quality and Safety Outcomes Coordinator (QSOC) is an entry level position supporting various activities that improve quality outcomes and prevent adverse safety events throughout The University of Kansas Health System. The QSOC develops fundamental performance improvement and safety science skills to promote the highest level of patient safety through various continuous quality improvement activities. The QSOC collects, monitors, and analyzes data to initiate and evaluate performance improvement projects intended to meet the organization's vision to lead the nation in caring, healing, teaching, and discovering.Responsibilities and Essential Job Functions
  • Works under the direction of the Quality and Safety Manager to support various performance improvement initiatives to maintain accreditation, regulatory compliance, facility-level professional certifications, and other internal and external quality, safety, and value-based programs
  • Interacts in a courteous and professional manner to foster collaborative partnerships with all necessary disciplines to identify and respond to safety risks and opportunities for improvement
  • Supports data management functions including data collection, data validation, data analysis and interpretation, and timely submission of internal and publicly reported metrics
  • Uses various data sources (incident reports, registries, databases) to monitor performance and develop recommendations for improving organizational performance on various quality and safety metrics
  • Applies basic principles of safety science, process improvement, quality and patient safety measurement, project management, high reliability organizations, and is comfortable with PDCA cycles and A3 problem solving
  • Demonstrates the ability to solve simple problems, independently make decisions, and escalate concerns appropriately
  • Facilitates small-scale, interdisciplinary performance improvement groups to achieve unit, department, or metric-specific goals
  • Participates in local, regional, and national employee and patient safety related educational offerings and meetings.
  • Educates individuals and groups about the risks of healthcare delivery, the importance of reporting hazardous conditions, basic principles of quality improvement, and components of a safety culture
  • Completes special projects as assigned
  • Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department.
  • These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required.

Required Education and Experience
  • High School Graduate
  • Bachelors Degree Arts, Science, Nursing or equivalent (Registered Nurse license in the state of Kansas and Missouri required, if appropriate)
  • 2 or more years of experience in the healthcare industry

Required Licensure and Certification
  • Licensed Registered Nurse (LRN) - Multi-State - State Board of Nursing Registered Nurse license in the state of Kansas and Missouri required, if appropriate
  • Basic Cardiac Life Support (BLS or BCLS) - American Heart Association (AHA)

Time Type:Full timeJob Requisition ID:R-54862Important information for you to know as you apply:

  • The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion.

  • The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link asktalentacquisition@kumc.edu.

  • Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP.

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What University Of Kansas Health System employees say

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About University of Kansas Health System

Sourced by ZipRecruiter

Operating within the healthcare industry, The University of Kansas Health System is a renowned medical institution located in Kansas City, KS, United States. Established in 1905, this not-for-profit health system has evolved to offer an extensive range of products and services, which spans across a variety of specialist areas such as cancer care, neurology, cardiology, and organ transplants, among others. The core mission of The University of Kansas Health System is to enhance the health and wellness of individuals and communities by providing world-class healthcare services, quality education and conducting advanced research. They are also known for their unwavering commitment to academic medicine, which sets them apart from their peers.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Kansas City, KS, US

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