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Data Science Visualization Jobs in Kansas City, MO

AEG

Data Scientist

Kansas City, KS · On-site

Evaluate other emerging methods and research to ensure SKC stays current with data science best ... Experience using data visualization tools such as Tableau or other equivalent software. Physical ...

Sunixa Solutions Inc

Data Scientist

Overland Park, KS · On-site

$50 - $55/hr

... Visualization tools - Tableau, Power BI, MatplotlibKnowledge of Big Data technologies - Spark, Hadoop (plus point)Experience with Cloud platforms - AWS / Azure / GCPStrong analytical and problem ...

NinjaOne

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

Data Visualization: Build dashboards and reports in Tableau and Databricks to expose key data points and trends to business stakeholders. * Collaboration: Work closely with data science and analytics ...

ResolveSoft Inc

Data Analyst

Kansas City, MO · On-site

$65K - $85K/yr

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization ... Bachelor's degree in statistics, mathematics, economics, data science, or a related field. * 3+ ...

AEG

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

Bachelor's degree in computer science, data science or related STEM subject. * Significant ... Experience using data visualization tools such as Tableau or other equivalent software.

Velocity Staff

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

Bachelor's degree in computer science, data science or related technical field, or equivalent ... Familiarity with data visualization techniques using tools such as Grafana, PowerBI, AWS Quick ...

Velocity Staff

Jr/Mid SQL DBA

Kansas City, MO · On-site

$48.75 - $60.75/hr

Ensure data security, integrity, and compliance with best practices * Develop complex queries and ... Bachelor's degree in Computer Science or related field (or equivalent experience) Employment Type:

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Showing results 21-40

All JobsData Science Visualization JobsData Science Visualization Jobs in Kansas City, MO

Data Science Visualization information

See Kansas City, MO salary details

$52.7K

$106.8K

$157.6K

How much do data science visualization jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science visualization in Kansas City, MO is $106,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $120,000.00 per year, depending on experience, location, and employer.

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

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

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

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

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

What are popular job titles related to Data Science Visualization jobs in Kansas City, MO?

For Data Science Visualization jobs in Kansas City, MO, the most frequently searched job titles are:

What job categories do people searching Data Science Visualization jobs in Kansas City, MO look for?

The top searched job categories for Data Science Visualization jobs in Kansas City, MO are:

What cities near Kansas City, MO are hiring for Data Science Visualization jobs?

Cities near Kansas City, MO with the most Data Science Visualization job openings:

Data Science Visualization jobs near you

Data Scientist

AEG

Kansas City, KS • On-site

Full-time

Posted 21 days ago

Key responsibilities

  • Lead the design, development, and validation of advanced models to support decision-making and predictive frameworks.

  • Work closely with coaches, scouts, analysts, and other stakeholders to translate complex data into insights and develop models across various sports science and performance areas.

  • Develop and deploy advanced models supporting medical, scouting, coaching, and performance analysis workflows, including predictive models for load monitoring, injury risk, and player availability.

Job description

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.
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.
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About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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