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New Grad Data Scientist Jobs in Kansas (NOW HIRING)

Summary We are seeking a creative and curious individual to join our team as a Data Scientist. In ... Proactive and keen to learn, able to pick up new skills and work as part of a team. * Excellent ...

We are seeking a creative and curious individual to join our team as a Data Scientist. In this role ... Proactive and keen to learn, able to pick up new skills and work as part of a team. * Excellent ...

The data scientist collaborates with business partners (clinicians / supply chain / HR across ... Engineers features by using business acumen (including healthcare industry knowledge) to find new ...

New

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Overview We are seeking a full‑time Data Scientist 2 at Garmin's U.S. headquarters in the Greater ... Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater ... Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies

Data Scientist - Process Modeling What you will do Let's do this. Let's change the world. In this ... As new modeling capabilities are developed and information is parameterized, opportunities abound ...

New

As a Manufacturing Data Scientist at TAMKO, you will be integral to executing the AI and data ... and validating new approaches against proven baselines before deploying them in production.

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

... new and existing business initiatives, applying disciplined engineering practices such as version ... Advanced proficiency with data science toolkits (e.g., Python NumPy, SciPy, Scikit-learn ...

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Showing results 1-20

New Grad Data Scientist information

See Kansas salary details

$33.4K

$109.5K

$175.2K

How much do new grad data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for new grad data scientist in Kansas is $109,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $121,300.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Kansas?

For New Grad Data Scientist jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching New Grad Data Scientist jobs in Kansas look for?

The top searched job categories for New Grad Data Scientist jobs in Kansas are:

What cities in Kansas are hiring for New Grad Data Scientist jobs?

Cities in Kansas with the most New Grad Data Scientist job openings:

Infographic showing various New Grad Data Scientist job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $109,464 per year, or $52.6 per hour.

Data Scientist

Kansas City, KS • On-site

Sporting Kansas City
Spectator Sports • 5 - 10K employees

Full-time

Posted 16 days ago


Job description

Job Description Summary
We are seeking a creative and curious individual to join our team as a Data Scientist. In this role, the successful candidate will lead the design, development and validation of advanced models aimed at improving decision-making and supporting an evidence-informed predictive framework.
The successful candidate will work closely with coaches, scouts, analysts and other stakeholders, translating complex data into key insights, developing interpretable and context-relevant models across medical, sports sciences, scouting, squad planning and performance analysis, contributing to the development of proprietary models that provide Sporting Kansas City with a sustainable competitive advantage.
Sporting Kansas City is an equal opportunity employer. We celebrate diversity and equity and are committed to creating an inclusive environment for all associates. All associates are expected to positively collaborate with individuals of diverse backgrounds. We encourage all talented individuals looking for a challenge to apply.
Job Description
People
  • Work closely with coaches, analysts, scouts and other key stakeholders to identify football questions and translate them into advanced modelling projects.
  • Develop strong relationships with the wider Data and Analytics team, ensuring alignment with Club and department strategy.
  • Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by reliable data and production-ready workflows.
  • Collaborate closely with the First Team Data Analyst, ensuring the model outputs are translated and communicated into clear and actionable insights.
  • Ensure collaboration and communication across the wider Club as needed, championing the adoption of advanced analytics across Sporting Kansas City.

Process
  • Lead the end-to-end development of applied advanced modelling projects, from problem definition with key stakeholders, through to deployment and review cycles.
  • Develop robust tools for testing, validation, versioning, monitoring, model governance and documentation, focusing on creating and establishing best practices for experimentation.
  • Continuously evaluate model performance, incorporating stakeholder feedback to ensure reliability and flexibility as the Club changes and evolves.
  • Evaluate other emerging methods and research to ensure SKC stays current with data science best practice and trends.

Product
  • Develop advanced models to support medical, sports sciences, scouting, coaching and performance analysis workflows.
  • Support the development of advanced football metrics including player, team, league and valuation models, combining and utilizing multiple data sources.
  • Develop advanced metrics, working extensively with event, tracking and physical data.
  • Support the creation of predictive models related to load monitoring and management, player availability, injury risk and other key projects in collaboration with the medical and physical performance staff.
  • In close alignment with the wider Data and Analytics teams, support the development of forecasting and scenario-analysis tools, supporting squad and salary cap planning.
  • Continuously challenge existing data, systems and practices to ensure development and drive innovation.
  • Work closely with the First Team Data Engineer to productionize models and implement ML projects seamlessly.

Education & Experience
  • Bachelor's degree in computer science, data science or related STEM subject.
  • Experience working in a Data Science, Machine Learning, Applied Statistics or similar role.
  • Proven experience designing, validating and monitoring applied machine learning models.
  • Robust experience using both SQL and Python for data analysis, modelling and automation.
  • Strong understanding of statistical modelling, experimental design and model evaluation.
  • Creative and curious problem solver with a positive attitude to new challenges.
  • Proactive and keen to learn, able to pick up new skills and work as part of a team.
  • Excellent attention to detail and evidence of working on developing strong analytical skills.
  • Evidence of excellent communication skills, able to translate technical concepts into practical solutions.

Preferred Experience
  • Prior experience working within an elite soccer club or high-performance sporting environment.
  • Experience working with soccer event, tracking and physical performance datasets.
  • Previous experience developing models for elite athlete recruitment, physical performance, squad planning, player availability and load and fatigue management.
  • Experience deploying machine learning models and working with cloud-based environments.
  • Strong understanding of technical and tactical aspects of soccer.
  • Evidence of experience working in the MLS.
  • Experience using data visualization tools such as Tableau or other equivalent software.

Physical Requirements
  • Ability to work in office, stadium, and outdoor environments with the ability to travel as required.
  • Ability to occasionally lift up to 25 pounds.
  • Ability to work non-traditional hours including evenings, weekends, and holidays.

Additional Responsibilities
  • Represent Sporting Kansas City professionally at all times.
  • Maintain confidentiality of sensitive information.
  • Comply with Club policies and procedures.
  • Perform other duties as assigned.