ZipRecruiter

Log In

1

Associate Data Scientist Jobs in Kansas (NOW HIRING)

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

All associates are expected to positively collaborate with individuals of diverse backgrounds. We ... Evaluate other emerging methods and research to ensure SKC stays current with data science best ...

Sporting Kansas City

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

All associates are expected to positively collaborate with individuals of diverse backgrounds. We ... Bachelor's degree in computer science, data science or related STEM subject. * Significant ...

Sporting Kansas City

Data Analyst

Kansas City, KS · On-site

All associates are expected to positively collaborate with individuals of diverse backgrounds. We ... Bachelor's degree in data science or related STEM subject. * Experience using SQL and Python and/or ...

T-Mobile

Assoc Engineer, Data

Overland Park, KS · On-site

$71K - $128K/yr

Create data tool components to support analytics and data science teams in their workflows * Work with data and analytics experts to enhance the functionality and performance of data systems * Also ...

T-Mobile

Assoc Engineer, Data

Overland Park, KS · On-site

$71K - $128K/yr

Create data tool components to support analytics and data science teams in their workflows * Work with data and analytics experts to enhance the functionality and performance of data systems * Also ...

Associated Wholesale Grocers

Data Engineer

Kansas City, KS · On-site

$111K - $134K/yr

... Associate Analyst level) • Basic understanding of data modelling, mapping and data quality/governance practices • Bachelor's degree in software engineering, computer science, computer information ...

next page

Showing results 1-20

All JobsAssociate Data Scientist JobsAssociate Data Scientist Jobs in Kansas

Associate Data Scientist information

See Kansas salary details

$51.3K

$60.7K

$115K

How much do associate data scientist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for associate data scientist in Kansas is $60,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,600.00 and $53,100.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

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

AspectAssociate Data ScientistData 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; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

More about Associate Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Kansas?

The most popular types of Data Scientist jobs in Kansas are:

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

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

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

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

What cities in Kansas are hiring for Associate Data Scientist jobs?

Cities in Kansas with the most Associate Data Scientist job openings:

What are popular job titles related to Associate Data Scientist jobs in KS?

For Associate Data Scientist jobs in KS, the most frequently searched job titles are:

Associate Data Scientist jobs near you
Infographic showing various Associate Data Scientist job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $60,680 per year, or $29.2 per hour.

Data Scientist

Sporting Kansas City

Kansas City, KS • On-site

Full-time

Posted 13 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.

Apply