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Data Science Major Jobs in Kansas (NOW HIRING)

Meteorologist

Dodge City, KS ยท On-site +1

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

Meteorologist

Goodland, KS ยท On-site +1

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

Data Architect

Kansas City, KS ยท Hybrid

$60 - $77.25/hr

Support Availability and Services (25%) * Assist core/project team in solving key/major production ... Proven experience as a Data Architect, Data Scientist, Data Analyst or similar role * In-depth ...

AND leading an institution-level major initiative in analytics, data engineering, or business intelligence. Preferred Qualifications: * Master's degree in Data Science, Statistics, Computer Science ...

Cloud Engineer

Lansing, KS ยท On-site

$53.75 - $71.75/hr

... major government and business organizations. As a member of our Technology Solutions group, you ... Enabling data scientists and analytic teams to rapidly deploy AI/ML models and advanced analytics ...

Cloud Engineer

Beverly, KS ยท On-site

$52.75 - $70.50/hr

... major government and business organizations. As a member of our Technology Solutions group, you ... Enabling data scientists and analytic teams to rapidly deploy AI/ML models and advanced analytics ...

Data Architect

Topeka, KS ยท On-site

$73K - $95K/yr

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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Data Science Major information

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

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

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What are popular job titles related to Data Science Major jobs in Kansas? For Data Science Major jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Science Major jobs in Kansas look for? The top searched job categories for Data Science Major jobs in Kansas are:
What cities in Kansas are hiring for Data Science Major jobs? Cities in Kansas with the most Data Science Major job openings:
Infographic showing various Data Science Major job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Performance Data Scientist - First Team

Sporting Kansas City

Kansas City, KS โ€ข On-site

Full-time

Re-posted 19 days ago


Job description

Job Description Summary
The Human Performance (HP) Department is seeking a First-Team Performance Data Scientist to help the department accomplish their mission of creating a collaborative, data-informed staff committed to excellence by delivering holistic, player-centric health and performance.
This is an exciting time to join the HP department committed to providing a culture where people thrive, and a platform that sets the standard for player health and performance in Major League Soccer.
The First Team Performance Data Scientist will be tasked with connecting the first team sport science front end to SKC's centralized data analytics infrastructure.
They will meet SKC's expectations of organized data collection, excellent data hygiene, consistent terminology, and the highest level of HIPPA compliance. The scope of data collected will comprehensively include all sport science and medical data in addition to data from auxiliary departments that are relevant to painting a clear holistic player-centric performance picture.
They will work collaboratively with the HP department to make data accessible to staff and players. The data they provide will inform decisions regarding training periodization, athletic testing, player and positional profiling, athletic development, injury prevention, rehabilitation, and return to play protocols.
They will be responsible for building the data models and analytics platforms that will be used to integrate all relevant performance data into daily, weekly, monthly, and seasonal reports to be used by the HP, technical, and recruiting departments to ensure the team's ability to consistently compete, ensure player safety, and to inform high-performance decisions.
Job Description
Essential Functions
  • Oversee all peripheral First Team performance data science workflows, including the integration and maintenance of connections and pipelines within the club's central data infrastructure.
  • o Training and match load
  • o Readiness to train data, objective and subjective
  • o Movement analysis
  • o Strength, power, speed, agility and fitness
  • o Medical
  • o Diet and nutrition
  • o Mental performance
  • Ensure the highest level of data hygiene for all sports science data collection.
  • Perform quality control on data sources, including GPS and athlete monitoring systems.
  • Apply expertise in multiple programming and data-analysis languages to develop analytical models that evaluate the effectiveness of training periodization strategies and forecast the impact of future microcycles.
  • Build tools for HP department staff to increase the precision of workflows and training plans.
  • Create usable dashboards that paint a clear picture of player readiness.
  • Deliver actionable, high-resolution insights that enable the HP department to optimize marginal gains across all areas of performance.
  • Lead and leverage sport science interns to maximize data science efficiency and grow the department.
  • Provide insights into workload trends, performance benchmarks, return-to-play indicators, and training optimization.
  • Communicate real-time training and match analytics to performance staff to inform substitutions and support live decision-making.
  • Collaborate with the broader data analytics team to connect relevant data from sports science, technical analysis and recruiting to create a holistic view of each player.
  • Use sports science to collaboratively create player and positional profiling.
  • Manage all aspects of the HP departments AMS systems.
  • On occasion, attend/participate in activities/meetings/programs as required by MLS.

Personal Attributes
  • Curious, energetic, and highly collaborative.
  • Naturally player-centric and highly accountable.
  • Must be collaborative, team-oriented, with confidence and professionalism to address behaviors that may compromise team culture or SKC standards.
  • Empathetic and emotionally intelligent, with a proven ability to foster trust, psychological safety, and strong interpersonal relationships.
  • Exceptional communicator who navigates challenging conversations with honesty, professionalism, and respect, both in giving and receiving feedback.
  • Strong written and verbal communication skills, detail-oriented and organized with the ability to simultaneously handle multiple tasks and adapt to change.
  • Composed, driven and adaptable, capable of thriving in a dynamic, high-performance team environment.
  • Professional integrity, discretion, and commitment to the club's values and player-development philosophy.
  • Detail-oriented with the ability to think ahead and proactively, collaboratively, solve problems.

Qualifications & Experience
  • Minimum of 5 years of experience in a sports environment, preferably with soccer, at an elite level (collegiate, professional, Olympic).
  • Strong understanding and familiarity of MLS preferred.
  • Master's degree or higher in Sports Science, Data Science, or a related field.
  • Knowledge of, and experience in, utilizing sports science technologies (e.g., GPS, Optical Tracking, Internal Load Monitoring, VALD, Force Plates, Physiologic Testing, Strength/Power Testing Equipment, and current Athlete Monitoring System (AMS) platforms.
  • Must be an expert in various data languages (R, Python, Shiny Apps, Tableau, Power BI, Excel, etc.)
  • Must be skilled in building models and platforms that can create the answers to the club's performance questions.
  • High level of comfort with all major AMS systems (Kitman Labs, SmartaBase, etc.)
  • Highly knowledgeable in data security.
  • Certified Performance Sports Scientist (CPSS) certification by NSCA (National Strength and Conditioning Association).
  • HIPAA Compliant Course and Health Information Certification.

Physical & Working Conditions
  • Based primarily at the Club's training facility and stadium, with potential regular travel for matches and events.
  • Must be able to lift and carry up to 100 pounds routinely as a part of session set up, breakdown and demonstration.
  • Ability to work in indoor and outdoor environments under varying weather conditions.
  • Ability to work non-traditional hours, including evenings, weekends, travel, and extended days.

  • We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.