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Internship Reddit Data Science Jobs in Kansas (NOW HIRING)

... Data Science, or Engineering. Must have Junior or Senior standing at the time of the internship. 6 months of experience using Microsoft Office tools as part of prior work experience, classroom ...

Technical Support Intern

Wichita, KS ยท On-site

$15.36/hr

... GIS), Data Science, or Engineering. * Must have Junior or Senior standing at the time of the internship. * 6 months of experience using Microsoft Office tools as part of prior work experience ...

Accounting Systems Intern

Merriam, KS ยท 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 ...

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 ...

Accounting Systems Intern

Merriam, KS ยท 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 ...

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 ...

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 ...

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 ...

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 ...

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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Internship Reddit Data Science information

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

To thrive as a Reddit Data Science intern, you need a solid background in statistics, programming (Python or R), and data analysis, usually supported by progress toward a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow is typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and present data-driven insights. These skills are crucial for extracting actionable information from Reddit's large datasets, driving informed decisions, and contributing to product and user experience improvements.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data points, or tasks to improve model performance efficiently.

Is a data science internship worth it?

A data science internship provides practical experience with tools like Python, R, and SQL, and helps develop skills in data analysis, machine learning, and communication. It can improve job prospects, build a professional network, and often leads to full-time opportunities, making it a valuable step for aspiring data scientists.

What is an Internship Reddit Data Science position?

An Internship Reddit Data Science position is a temporary role where students or recent graduates work with Reddit's data science team. Interns assist with analyzing large datasets, building models, and deriving insights to improve user experience and business outcomes. The role typically involves working with programming languages like Python or R, using tools for data analysis and visualization, and collaborating with other engineers and data scientists. It's a valuable opportunity for gaining hands-on experience in real-world data science projects within a dynamic tech company. The internship can help build skills and open doors for future careers in data science.

What is the difference between Internship Reddit Data Science vs Data Analyst Intern?

AspectInternship Reddit Data ScienceData Analyst Intern
Required skillsBasic programming, statistics, data manipulationData visualization, Excel, SQL, basic statistics
Work environmentTech companies, startups, online platformsBusiness, finance, marketing sectors
Typical tasksData cleaning, model development, analysisReporting, dashboards, data interpretation
Common industry usageTech, social media, online communitiesCorporate, marketing, finance

Internship Reddit Data Science and Data Analyst Intern roles share foundational skills like data manipulation and basic analytics. However, Reddit Data Science internships focus more on developing models and working with large datasets in tech environments, while Data Analyst Internships emphasize reporting and visualization in business contexts. Both roles provide valuable experience but cater to different career paths within data fields.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with senior roles, extensive experience, specialized skills in machine learning or big data, and working at large tech companies or in high-cost regions. Achieving this level often requires advanced education, certifications, and a strong portfolio of successful projects.

What types of projects and responsibilities can I expect as a Data Science Intern at Reddit?

As a Data Science Intern at Reddit, you can expect to work on a variety of projects ranging from analyzing user engagement data to building predictive models that support product and content recommendations. You'll collaborate closely with data scientists, engineers, and product managers, often using tools like Python, SQL, and machine learning libraries. Common responsibilities include cleaning and visualizing data, conducting exploratory analysis, and presenting insights to stakeholders. This hands-on experience will help you develop both technical and communication skills in a dynamic, team-oriented environment.

Is 30 too late for data science?

Age is not a barrier to entering data science, including internships like Reddit Data Science roles. Many professionals transition into data science later in their careers by developing relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Employers value skills and experience over age, so starting at 30 can still lead to successful opportunities in the field.
What are the most commonly searched types of Reddit Data Science jobs in Kansas? The most popular types of Reddit Data Science jobs in Kansas are:
What are popular job titles related to Internship Reddit Data Science jobs in Kansas? For Internship Reddit Data Science jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Internship Reddit Data Science jobs? Cities in Kansas with the most Internship Reddit Data Science job openings:
Infographic showing various Internship Reddit Data Science job openings in Kansas as of July 2026, with employment types broken down into 11% Internship, 57% Full Time, 25% Part Time, and 7% Contract. Highlights an 83% In-person, and 17% Remote job distribution.
Performance Data Scientist - First Team

Performance Data Scientist - First Team

Sporting Kansas City

Kansas City, KS โ€ข On-site

Full-time

Posted 9 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.