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Statistician Jobs in Kansas (NOW HIRING)

Varsity Tutors

Data Analysis Tutor

Wichita, KS · Remote

$18 - $40/hr

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Garmin

Senior Sensor Algorithms Software Engineer

Olathe, KS · On-site

$118K - $156K/yr

Perform significant mathematical, statistical, and data analysis as part of the algorithm development process. * Evaluate and understand various design tradeoffs including power consumption, cost ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

Design and implement statistical models, anomaly detection algorithms, and machine learning pipelines to identify suspicious test-taking patterns, proxy testing, impersonation, and item exposure ...

Varsity Tutors

Data Analysis Tutor

Overland Park, KS · Remote

$18 - $40/hr

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Garmin

Data Scientist 2

Olathe, KS · On-site

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.

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

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.

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All JobsStatistician JobsStatistician Jobs in Kansas

Statistician information

See Kansas salary details

$45K

$77.5K

$103.9K

How much do statistician jobs pay per year?

As of Aug 21, 2026, the average yearly pay for statistician in Kansas is $77,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $87,800.00 per year, depending on experience, location, and employer.

What does a statistician do?

A statistician collects, analyzes, and interprets data to help solve real-world problems in fields such as business, healthcare, government, and science. They design surveys, experiments, or opinion polls to gather data, and then use mathematical techniques and statistical software to interpret their findings. Statisticians play a vital role in decision-making processes by providing accurate data analysis and insights, which can be used to inform policy, optimize processes, or improve products and services.

What are the key skills and qualifications needed to thrive as a statistician, and why are they important?

To thrive as a Statistician, you need strong analytical skills, a solid background in mathematics and statistics, and at least a bachelor's degree in a related field. Proficiency with statistical software such as R, SAS, Python, or SPSS and familiarity with data analysis tools are typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting results and conveying findings to diverse audiences. These skills ensure accurate data-driven insights and support informed decision-making in various industries.

What are some common challenges statisticians face when working with large datasets, and how are these typically addressed?

Statisticians often encounter challenges such as data quality issues, missing values, and computational limitations when working with large datasets. To address these, they use data cleaning techniques, employ imputation methods for missing data, and leverage specialized statistical software or programming languages like R and Python for efficient data processing. Collaborating closely with data engineers and subject matter experts is also critical to ensure that the data is both accurate and relevant for analysis. Staying updated on best practices and new tools helps statisticians manage these challenges effectively.

Are statisticians still in demand?

Statisticians are currently in high demand across various industries such as healthcare, finance, and technology due to the increasing reliance on data analysis and decision-making. Strong skills in statistical software, programming, and data interpretation enhance job prospects in this field.

Is a statistician a high paying job?

Statisticians typically earn higher-than-average salaries compared to many other professions, with median annual wages often exceeding national averages. Factors such as experience, education level, industry, and geographic location influence earning potential, and advanced skills in statistical software and data analysis can lead to higher pay.
More about Statistician jobs

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

The most popular types of Statistician jobs in Kansas are:

What cities in Kansas are hiring for Statistician jobs?

Cities in Kansas with the most Statistician job openings:

What are popular job titles related to Statistician jobs in KS?

For Statistician jobs in KS, the most frequently searched job titles are:

Statistician jobs near you
Infographic showing various Statistician job openings in Kansas as of August 2026, with employment types broken down into 46% Full Time, 50% Part Time, 1% Temporary, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $77,520 per year, or $37.3 per hour.

Data Scientist / ML Engineer

Highbrow LLC

Overland Park, KS • On-site

$100 - $130/hr

Other

Posted 15 days ago

Job description

Data Scientist / ML Engineer

Year Of Experience: 7+ years

Location: Overland Park KS/ Frisco TX ( 5 days onsite from day 1)

Visa Type :- (US Citizen only ) (Female candidate only required )

Employment Type :- W2

Duration :- Long Term

Job Description :-

7plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting

3plus years of applied experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance.

3plus years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc.

3 plus years of experience in building use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and On- premise environments

Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc.)

Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations.

Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects.

Expertise with scaling pilot machine learning solutions to a large scale production environment

Expertise with visualization tools such as PowerBI, D3JS etc.

Excellent written and verbal communication skills.

Proficient in machine learning data workflows, data collection methodologies, and data analysis.

Experience with architecting, designing, developing software solution in Azure and on-prem

environments.

Certifications AI / ML and Azure Cloud platforms will be plus

Education:

  • Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
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