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Data Science Junior Jobs in Kansas (NOW HIRING)

Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to ... Provide mentorship and share best practices with junior team members under the guidance of senior ...

Junior Java/C++ Developer

Olathe, KS · On-site

$63K - $82K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

Data Architect

Kansas City, KS · Hybrid

$60 - $77.25/hr

Guide, Mentor and Lead Junior/emerging architects and developers. * Drive resolution with ... Proven experience as a Data Architect, Data Scientist, Data Analyst or similar role * In-depth ...

... 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 ...

... junior architects; raise the bar on documentation, testing, automation, and observability • ... Data Science or AI (relevant to this role's AI/data initiatives) • 8+ years in software ...

Sr Industrial Engineer

Olathe, KS · On-site

$41.25 - $56.50/hr

Mentor and train junior level Industrial Engineers * Work with clients to understand business ... Work with Data Science and BI and Marketing teams to develop required marketing collateral * Train ...

Sr Industrial Engineer

Olathe, KS

$41.25 - $56.50/hr

Mentor and train junior level Industrial Engineers * Work with clients to understand business ... Work with Data Science and BI and Marketing teams to develop required marketing collateral * Train ...

Mentor engineers and junior architects; raise the bar on documentation, testing, automation, and ... focus, Data Science or AI (relevant to this role's AI/data initiatives) * 8+ years in software ...

Mentor engineers and junior architects; raise the bar on documentation, testing, automation, and ... focus, Data Science or AI (relevant to this role's AI/data initiatives) * 8+ years in software ...

... data analysis, and report generation * Act as lead scientist, help to design experiments, provide work instructions and technical training to more junior scientific staff in daily activities * Be ...

Sr. Scientist - BioPharma LBA

Kansas City, KS · On-site

$88K - $120K/yr

... data analysis, and report generation * Act as lead scientist, help to design experiments, provide work instructions and technical training to more junior scientific staff in daily activities * Be ...

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Data Science Junior information

See Kansas salary details

$30.8K

$70.8K

$113.7K

How much do data science junior jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data science junior in Kansas is $70,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $72,700.00 per year, depending on experience, location, and employer.

What are some typical daily responsibilities for a Data Science Junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What is a Data Science Junior job?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the key skills and qualifications needed to thrive in the Data Science Junior position, and why are they important?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

What are the most commonly searched types of Data Science jobs in Kansas? The most popular types of Data Science jobs in Kansas are:
What cities in Kansas are hiring for Data Science Junior jobs? Cities in Kansas with the most Data Science Junior job openings:
Infographic showing various Data Science Junior job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $70,770 per year, or $34 per hour.

Full-time

Posted 13 days ago


Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

14th of 156 rated electronics manufacturers


Job description

Overview
We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing machine learning models, and collaborating with cross-functional teams to provide actionable insights and AI solutions. In addition, under guidance or with minimal supervision, this role will apply machine learning, statistical analysis, and data engineering techniques to address challenging business problems.
Essential Functions
  • Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources
  • Conduct advanced exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform modeling efforts
  • Design, implement, and refine predictive models using machine learning and statistical methodologies
  • Collaborate with cross-functional teams to translate data-driven insights into product and strategy recommendations
  • Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to enhance efficiency
  • Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance
  • Support integration of models into production systems by coordinating with functional and technical teams and monitoring performance post-deployment
  • Assist in developing and maintaining processes and tools to ensure model performance, reliability, and data quality
  • Create and present compelling data visualizations and reports using advanced graphics and visualization tools
  • Identify and leverage both internal and external datasets to drive innovation and support business solutions
  • Contribute to the development of custom machine learning models and algorithms across diverse datasets
  • Apply predictive modeling to improve user experiences, support revenue growth, and enable data-driven insights
  • Support the definition of project scope and business expectations based on data-driven insights
  • Provide mentorship and share best practices with junior team members under the guidance of senior staff
  • Participate in peer reviews and contribute to the continuous improvement of team processes
  • Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies
  • Ensure data quality, adherence to governance standards, and compliance with data privacy and AI-related regulations

Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 1 year of relevant experience
  • Experience using systems such as SQL, Python, or R
  • Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
  • Demonstrated understanding of advanced descriptive and inferential statistics
  • Demonstrates expert knowledge in data analysis methods and tools
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be team-oriented, possess a positive attitude, and work well with others
  • Driven problem solver with proven success in solving difficult problems
  • Consistently demonstrates quality and effectiveness in work documentation and organization

Desired Qualifications
  • Experience with structured database management systems
  • Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or reinforcement learning)
  • Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows
  • Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases
  • Understanding of A/B testing and causal inference
  • Experience working with unstructured data (text, images, audio, etc.)
  • Familiarity with data visualization tools (i.e. Matplotlib, Seaborn)

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

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