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Statistical Data Scientist Jobs in Kansas (NOW HIRING)

Nuvative Inc

Data Scientist

Wichita, KS · On-site

A Data Scientist at Nuvative, Inc. will have a strong background in data analysis, statistical modeling, and machine learning, with a passion for leveraging data to drive business decisions. As a ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

A Data Scientist at Nuvative, Inc. will have a strong background in data analysis, statistical modeling, and machine learning, with a passion for leveraging data to drive business decisions. As a ...

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS

As a Manufacturing Data Scientist at TAMKO, you will be integral to executing the AI and data ... This is a hands-on role that pairs disciplined statistics and process knowledge with modern AI ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

Design and implement statistical models, anomaly detection algorithms, and machine learning ... Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Educational ...

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Statistical Data Scientist information

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$41K

$147.2K

$217.2K

How much do statistical data scientist jobs pay per year?

As of Jul 27, 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.

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 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.

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.

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:
What job categories do people searching Statistical Data Scientist jobs in Kansas look for? The top searched job categories for Statistical Data Scientist jobs in Kansas are:
Statistical Data Scientist jobs near you
Data Scientist

Data Scientist

Nuvative Inc

Wichita, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

DEPARTMENT: Analytics

JOB TITLE: Data Scientist

REPORTS TO: Director of Analytics


WHO WE ARE: WHO WE ARE: Nuvative is a parent company that is helping businesses meet their goals through innovative technology and impactful employees. To recruit and retain top-notch talent, we consciously work to make and keep Nuvative an employer of choice. We provide our employees with a culture of kindness, fairness, learning and development, contribution, collaboration, diversity, innovative and fun.

JOB PURPOSE: A Data Scientist at Nuvative, Inc. will have a strong background in data analysis, statistical modeling, and machine learning, with a passion for leveraging data to drive business decisions. As a Data Scientist at Nuvative, Inc., you will play a key role in analyzing large datasets, developing predictive models, and providing actionable insights to improve our products and services. The Data Scientist also works closely with the other Data Scientists on analysis and prediction of trends while supporting cross-functional teams on the day-to-day delivery of projects and initiatives.

ESSENTIAL EXPERIENCE, DUTIES and RESPONSIBILITIES

Data Scientist

RESPONSIBILITIES

  • Analyze large, complex datasets to identify trends, patterns, and insights.
  • Develop predictive models to forecast customer behavior and optimize business outcomes.
  • Collaborate with cross-functional teams to design and implement data-driven solutions.
  • Turn data into insight: segment, cluster, model and mine to better understand behaviors, trends, & performance shortfalls.
  • Find, clean, and integrate data into usable and helpful information.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Stay current with the latest developments in data science and apply best practices to solve business challenges.
  • Contribute using SQL and Python languages to the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Identify gaps in current data systems, drive and contribute to development of systems to bridge gap.
  • Plans and executes ongoing strategies including maximization of technologies and processes.
  • Responding with urgency to high priority requests from senior business leaders.
  • Take initiative to make things better and provide solutions for challenges.
  • Anticipate operational needs based on volume/expansion and make recommendations.
  • Drive change – produce clear, understandable visualizations and reports to share with Senior Management.
  • Any other duties as assigned.

QUALIFICATIONS

  • BS, MS or PhD in Data Science, Analytics, Statistics, Applied Mathematics, or a related field (with a minimum of 3 years of experience preferred).
  • In depth knowledge and understanding of finance and loan underwriting desired.
  • Background in data mining, machine learning, statistical analysis, and modeling.
  • Strong SQL abilities and experience with massive relational database systems.
  • Programming skills in R or Python and experience with related machine learning packages.
  • Proven track record of assisting business decisions with accurate data and analysis.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

COMPETENCIES

  • Ability to produce significant output with minimal waste of effort.
  • Plans, organizes, and schedules time in an efficient, productive manner.
  • Ability to structure and process qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights.
  • Not allowing crucial details to slip through the cracks or derail a project.
  • Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship.
  • Ability to communicate well, including the ability to take complex topics and create relatable narratives for different audiences.
  • A decisive individual with excellent organizational skills and the ability to multi-task effectively

WHY WORK FOR US: At Nuvative, you’ll find an environment where our team is the core of what we do and good work is rewarded and growth is valued. Nuvative offers competitive wages to qualified individuals and the opportunity to grow professionally and personally through diverse work experiences and hands on training. The heart of our employee culture are the values that we not only preach, but also practice everyday:

  • Initiative: Handling opportunities with confidence and enthusiasm.
  • Persistence: Moving forward in the face of adversity.
  • Teamwork: Uniting the combined effort of our organization.
  • Respect: Considering the feelings of others in your action.
  • Integrity: Maintaining honesty and strong principles.
  • Innovation: Inspiring progress with results and ingenuity.


WHAT WE CAN OFFER YOU:

  • Medical, Dental and Vision insurance.
  • Flexible Spending Account- Health & Dependent Care available
  • 401(k)- with employer match
  • Voluntary Life Insurance and AD&D
  • Paid time off
  • Holidays
  • Paid Parental leave (after a year)
  • Monthly Company Paid lunch


The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel in this position.