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Amazon Data Science Internship Jobs in Kansas (NOW HIRING)

StackAdapt

Want to learn more about our Data Science Team: Learn more about our team culture here: Watch our talk at Amazon Tech Talks: StackAdapt is a remote-first company, and we are open to candidates ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

Enable self-service analytics and reporting using Amazon QuickSight * Build and operate data ... Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience * 8+ ...

Miratech

Amazon Connect Architect

Canada, KY · Remote

$54 - $71.25/hr

... data workflows. Responsibilities * Architect end-to-end AWS-based solutions for Amazon Connect ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...

Miratech

$54 - $71.25/hr

... data workflows. Responsibilities * Architect end-to-end AWS-based solutions for Amazon Connect ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...

Pratt Industries

Senior AWS Cloud Architect

Park City, KS · On-site

$58 - $76/hr

... data/analytics services (AWS Glue, Redshift, Athena, EMR, SageMaker, Amazon Bedrock). • ... teams and data science/analytics business units. Pratt is America's 4th largest corrugated ...

Pratt Industries

Senior AWS Cloud Architect

Wichita, KS · On-site

$64 - $84/hr

... data/analytics services (AWS Glue, Redshift, Athena, EMR, SageMaker, Amazon Bedrock). • ... teams and data science/analytics business units. Pratt is America's 4th largest corrugated ...

Seaboard

Accounting Systems Intern

Merriam, KS

$15 - $19/hr

This internship is ideal for the student with a strong interest in both accounting and computer ... Satisfactory completion of introductory computer science, information systems, or data science ...

Seaboard Corporation

Accounting Systems Intern

Merriam, KS · On-site

$15 - $19/hr

This internship is ideal for the student with a strong interest in both accounting and computer ... Satisfactory completion of introductory computer science, information systems, or data science ...

Deloitte

Databricks Manager

Wichita, KS · On-site +1

... Amazon Web Services, and Google Cloud Platform, including integrations * Provide hands-on support ... Support data science and model teams with platform needs, environment enablement, and deployment ...

StackAdapt

Watch our talk at Amazon Tech Talks: What You'll Do Leadership & Strategy * Own the vision ... Work closely with Product, Revenue, Finance, Data Science, and Engineering teams to align technical ...

Flora Food Group

R&D Food Scientist

Hugoton, KS

In this role, you'll assist with trial execution, data collection, and commissioning of new ... This is a hands-on role for someone passionate about food science and process engineering who ...

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How much do amazon data science internship jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for amazon data science internship in Kansas is $20.07, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Data Science Intern, and why are they important?

To thrive as an Amazon Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, AWS, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and present findings to both technical and non-technical stakeholders. These abilities are crucial for delivering actionable insights and contributing to impactful projects in Amazon's fast-paced, data-driven environment.

What is an Amazon Data Science Internship?

An Amazon Data Science Internship is a temporary position for students or recent graduates to work with Amazon’s data science teams. Interns apply statistical analysis, machine learning, and data engineering skills to solve real-world business problems. The internship provides hands-on experience with large datasets and exposure to Amazon’s tools, technologies, and culture. Interns also have opportunities to collaborate with experienced data scientists and contribute to impactful projects. This experience can help launch a career in data science, especially in the tech industry.

What types of projects do interns typically work on during an Amazon Data Science Internship?

As an Amazon Data Science intern, you can expect to work on real-world projects that directly impact business decisions. Common projects include developing predictive models, performing exploratory data analysis, and collaborating with software engineers to implement machine learning solutions. Interns often partner with cross-functional teams, such as product managers and business analysts, to translate data insights into actionable recommendations. This hands-on experience helps interns build technical and communication skills while gaining exposure to Amazon's fast-paced, data-driven environment.
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Amazon Data Science Internship jobs near you
Infographic showing various Amazon Data Science Internship job openings in Kansas as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 18% Full Time, 54% Part Time, 3% Temporary, and 22% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $41,747 per year, or $20.1 per hour.
Performance Data Scientist - First Team

Performance Data Scientist - First Team

Sporting Kansas City

Kansas City, KS • On-site

Full-time

Posted 12 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.

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