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Statistical Data Scientist Jobs in Kansas (NOW HIRING)

... statistical concepts to coworkers * Support documentation of analysis results for semi-technical ... data science experience may also be considered. * 2+ years professional experience with an open ...

... statistical concepts to coworkers * Support documentation of analysis results for semi-technical ... data science experience may also be considered. * 2+ years professional experience with an open ...

Data Scientist

Topeka, KS · Remote

$40/hr

Overview We are looking for a Data Scientist to join our team to train AI models. You will measure ... Applied skills in Statistics and/or Computer Science. Benefits Full-time or part-time REMOTE ...

Research Data Scientist The success of a company depends on the passionate people we partner with ... statistical analysis • Skilled in Microsoft Office Suite , with high proficiency in Microsoft ...

The Research Data Scientist is responsible for organizing the systems for collection, handling ... of statistical analysis Skilled in Microsoft Office Suite , with high proficiency in Microsoft ...

Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world ...

Experienced/Senior Data Scientist Company: Boeing Distribution, Inc. Boeing Global Services ... Statistical Analysis * 5+ years of experience using research tools and methods * 5+ years of ...

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Statistical Data Scientist information

See Kansas salary details

$41K

$147.2K

$217.2K

How much do statistical data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for statistical data scientist in Kansas is $147,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $151,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

How does a Statistical Data Scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

What does a Statistical Data Scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

Is 30 too late for data science?

A statistical data scientist can start a career at age 30, as the field values skills such as programming, statistical analysis, and machine learning, which can be developed through self-study, bootcamps, or advanced degrees. Many professionals transition into data science later in their careers, and age is generally not a barrier if relevant skills and experience are acquired.

What is the difference between Statistical Data Scientist vs Data Analyst?

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

What are popular job titles related to Statistical Data Scientist jobs in Kansas? For Statistical Data Scientist jobs in Kansas, the most frequently searched job titles are:
Data Scientist

Full-time

Posted 14 days ago


Job description

Responsible for assisting in the development, implementation and maintenance of the MTN programs, applications and databases. Also responsible for statistical analysis of system and research data. Engages internal and external customers to define and develop improvements and solutions through innovative use of databases and predictive modeling technologies.

ESSENTIAL JOB FUNCTIONS

SYSTEM ADMINISTRATOR

  1. Maintains proficiency in database programming and serves as primary support and development for operational resources.
  2. Develops reporting for operational systems and polls/interprets data from the systems as requested by the leadership team.
  3. Designs system output to support internal processes through software development skills.
  4. Proactively seeks out opportunities to maintain and enhance skills as technology and software development tools evolve.
  5. Shows proficiency in Microsoft SQL Server administration, Microsoft Visual Studio, data interchange theory and practice and data security concepts.
  6. Investigates and recommends tools for data manipulation and analysis which support the MTN mission.
  7. Supports internal processes through continuous delivery and improvement of tools designed to enhance efficiency.
  8. Maintains and develops database technologies as necessary to ensure integrity of historical information and updated processes for storing and retrieving data.
  9. Supports update and configuration changes as needed for maintenance, installation and design.

BIOSTATISTICS

  1. Applies statistical techniques including but not limited to probability, regression, and linear algebra to analyze data and draw meaningful insights and conduct hypothesis testing and A/B testing to support decision-making.
  2. Maintains strong working knowledge of SAS and other applicable statistical software packages as required.
  3. Performs statistical analysis of information from MTN databases or as requested for MTN internal process improvements.
  4. Works closely with the leadership team to complete research projects.
  5. Supports data requests which support MTN relationships with external partners.

DATA SCIENCE

  1. Gathers and preprocess large datasets from multiple sources, ensuring data quality, consistency, and applying necessary cleaning and transformations to prepare data for analysis.
  2. Performs exploratory data analysis to understand data patterns and relationships and visualizes data to identify trends and anomalies.
  3. Analyzes large datasets to identify patterns, trends, and insights, applying advanced analytics, supervised / unsupervised learning, neural networks, and frameworks to generate information that informs business strategies.
  4. Develops and implements predictive models using machine learning and AI algorithms and validates and refines models to ensure their accuracy and reliability.
  5. Interprets data findings and translates them into actionable business insights, creating reports and dashboards to effectively communicate results to stakeholders.
  6. Works closely with cross-functional teams and stakeholders to define predictive modeling and AI project goals, establish KPIs, and translates business needs into actionable analytical solutions.
  7. Stays current with advancements in data science, machine learning, and AI, continuously enhancing models and processes using new data and feedback.
  8. Performs regular testing and debugging of modeling systems to resolve model drift and technical issues and identifies opportunities to leverage modeling and AI technology to improve business processes.
  9. Ensures data privacy and security standards are maintained and adheres to ethical guidelines in data handling and analysis.
  10. Maintains proficiency in tools like Python, R, SAS Viya, Apache (Spark, Hadoop, Kafka), Java, Julia, Scala, MATLAB, TensorFlow, Scikit-learn, Keras, Microsoft Azure Machine Learning, Amazon SageMaker, and Alteryx.

QUALIFICATIONS AND PHYSICAL DEMANDS

  1. Bachelor's degree in mathematics or statistics and three or more years of computer science/programming experience required.
  2. Ability to work with mathematical concepts such as probability and statistical inference.
  3. Excellent analytical and organizational skills required.
  4. Possess strong problem-solving skills, with the ability to monitor work for accuracy and thoroughness while demonstrating perseverance, change agility, and a relentless drive to find answers despite setbacks.
  5. Demonstrated commitment to understanding and anticipating client needs by engaging in an iterative discovery process to ensure effective serve delivery.
  6. Demonstrated commitment to continuous learning with a growth mindset.
  7. Excellent interpersonal, verbal and written communication skills and critical thinking skills.
  8. Must maintain a valid driver's license in accordance with MTN motor vehicle policy. Must have reliable transportation to be used with company reimbursement using IRS guidelines. Must be able to travel within the service area by ground or air.
  9. Ability to lift 15 pounds and transfer short distances.
  10. Possess ability to operate telephones, computers and office equipment.
  11. Ability to speak and communicate clearly in order to accurately convey information in person or by phone.
  12. OSHA Category III - No exposure to bloodborne pathogens while performing assigned job duties.
  13. Home internet and wireless phone access is required.

MTN BEHAVIORAL COMPETENCIES

Belonging: Intentionally connects with colleagues by embracing differences and finding commonalities to create a workplace where all employees feel safe and genuine at work. Models the philosophy that lived experiences make individuals unique by respecting and seeking to understand beliefs, values and opinions that are new or different from their own. Represents through actions and influence, the idea that diverse perspectives make MTN stronger as we serve our mission.

Respect: Builds a positive and supportive foundation inviting open, honest, and clear communication. Fosters a sensitive, supportive, and trustworthy environment, which promotes active listening and strengthens rapport throughout all interactions. Cultivates teamwork through acceptance and inclusion by valuing differences and empowering strengths.

Excellence: Demonstrates excellence by going above and beyond, while maintaining compassion and humility in all interactions. Demonstrates a high rate of achievement and success for the organization through proactive objectives centered on the overall mission and vision. Consistently models a positive attitude, a willingness to help others, and a dedication to improvement. Takes full responsibility for their role and challenges themselves to find workable solutions.

Accountability: Demonstrates the highest ethical standards, by honoring commitments to each other and professional partners. Executes all interactions through honesty and transparency. Demonstrates responsibility and integrity through ownership of the mission. Utilizes resources appropriately.

Leadership: Empowers, mentors and encourages all staff, while displaying a high-level of professionalism. Demonstrates ability to cultivate teams and relationships through open lines of communication, honesty and respect. Handles challenges with compassion by developing trust through respectful feedback and support. Acts as a resource by providing the tools, which enable others to reach their highest potential.

It is the policy of Midwest Transplant Network (MTN) to provide equal opportunity in employment to all employees and applicants for employment. No person will be discriminated against in employment because of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, ethnic origin, age, genetic information, disability, protected veteran status, arrest record, or any characteristic protected by applicable federal, state or local laws. In addition, the organization complies with applicable state and local laws governing non-discrimination in employment in every location in which the organization has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training, employee activities and general treatment during employment

MTN is committed tocomplying with state and federal disability laws and makes reasonable accommodations when requested by a qualified applicant or employee with a disability to enable the applicant or employee to be considered for the position they desire, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation would impose an undue hardship on the operation of MTN's mission.