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Statistical Data Scientist Jobs in Kansas (NOW HIRING)

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

Experience working in a Data Science, Machine Learning, Applied Statistics or similar role. * Proven experience designing, validating and monitoring applied machine learning models. * Robust ...

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Overview We are seeking a full‑time Data Scientist 2 at Garmin's U.S. headquarters in the Greater ... Design, implement, and refine predictive models using machine learning and statistical ...

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 ...

Highbrow LLC

Data Scientist / ML Engineer

Overland Park, KS · On-site

$100 - $130/hr

Data Scientist / ML Engineer Year Of Experience : 7+ years Location: Overland Park KS/ Frisco TX ( ... Understanding of relevant statistical measures such as confidence intervals, significance of error ...

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

Master's degree in Statistics, Data Science, Computer Science, Mathematics, Operations Research, or a similar quantitative field. * A minimum of 7 years' experience working on data science, machine ...

Global Partners

Staff Data Scientist

Newton, KS · On-site

$160K - $240K/yr

Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or related quantitative ... Experience with a cloud data warehouse, Snowflake preferred, and with transformation and ...

Overstory

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas ...

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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 Aug 25, 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 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 are the key skills and qualifications needed to thrive as a statistical data scientist?

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 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

Senior Data Scientist

Shamrock Trading Corporation

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Shamrock Trading Corporation rating

9.1

Company rating: 9.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

About Shamrock Trading Corporation
Shamrock Trading Corporation is a family of brands that has been serving the transportation and logistics industries since 1986. Shamrock offers factoring solutions, export financing, third-party logistics, a fuel card program and trucking technology.
Shamrock's mission since the start has been to create value and success for our customers, our partners and our people. Strong ethics, dedication to our customers and close attention to the marketplace are critical to the success and growth of the Shamrock brands. Shamrock is headquartered in Overland Park, Kansas, with multiple offices throughout the U.S. Overland Park is a great place to live, work and play, being conveniently located within driving distance of everything Kansas City has to offer. Housed within the heart of Overland Park, our offices include 4 gorgeous towers on the East and West sides of Metcalf Ave. With a heavy community presence and a winning culture, Shamrock is a great place to work in Overland Park!
Why You'll Love Working Here
Our award-winning culture is a testament to our commitment to growth, recognition and empowerment. From day one, we prioritize employees first, encouraging them to think and act like owners and providing endless opportunities for growth and self-development, both personally and professionally. Shamrock has been recognized as one of America's 2025 "Most Loved Workplaces" by Newsweek.
At Shamrock, we hire bright, ambitious people and give them the tools they need for a successful, long-term career here. Shamrock also offers a premier set of benefits for employees and their families:
  • Training and Development: Ongoing training and professional development opportunities
  • Medical: Fully paid healthcare, dental and vision premiums for employees and eligible dependents, and gym benefits
  • Financial: Generous company 401(k) contributions and employee stock ownership after one year
  • Work-Life Balance: Competitive PTO and fully paid time off opportunities to volunteer within your community

About the Role
Shamrock Trading Corporation is looking for a Data Scientist to join our team with a focus on fraud detection and risk assessment across our factoring, payments, lending, and freight marketplace businesses. Data Scientists partner closely with business stakeholders, analysts, and Machine Learning Engineers to explore data, build and evaluate models, and communicate findings that drive efficiency, enable risk management, and support strategic objectives.
This role will apply statistical, analytical, and machine learning techniques to help Shamrock better identify suspicious behavior, reduce financial loss, improve risk decisioning, and support faster, more confident customer funding decisions. The Data Scientist will work closely with Product, Credit, Risk, Operations, Data Services, Machine Learning Engineers, and business stakeholders to understand fraud patterns, build risk signals, evaluate models, and translate findings into practical business action.
This role is well-suited for a data scientist or advanced analytics professional with experience in fraud, risk, credit, marketplace abuse, payments, lending, logistics, or identity verification who wants to apply those skills to complex real-world problems in freight and financial services.
What You'll Do
  • Translate fraud, risk, and credit questions into analytical and modeling approaches
  • Analyze invoice, funding, payment, carrier, debtor, customer, behavioral, and operational data to identify risk patterns and emerging fraud trends
  • Develop and evaluate analytical and machine learning models to support fraud detection, risk scoring, anomaly detection, and early warning indicators
  • Partner with Product, Credit, Risk, Audit, Operations, and business stakeholders to define risk signals, success metrics, decision thresholds, and model evaluation criteria
  • Coordinate with Machine Learning team to transfer custom models into production deployments and platform integrations
  • Partner with Data Analysts and BI teams to connect fraud and risk initiatives with reporting, monitoring, and business performance metrics
  • Document assumptions, methodologies, data limitations, model performance, and findings to support transparent decision-making
  • Stay current on fraud patterns and risk approaches across factoring, freight, logistics, payments, lending, and marketplace businesses

What You'll Bring
Required
  • Bachelor's degree in a quantitative field (Statistics, Data Science, Analytics, Computer Science, Applied Mathematics, Engineering), or equivalent practical experience
  • Experience with relational databases and SQL
  • Experience using statistical programming languages (Python, R, etc.)
  • Knowledge of modern data platforms or cloud environments (Databricks, AWS, etc.)
  • Experience using Git and collaborative development workflows
  • Experience applying statistical or analytical techniques to real-world business problems (regression, classification, distributions, optimization, etc.)
  • Experience visualizing/presenting data for stakeholders (Power BI, Tableau, etc.)
  • Strong analytical thinking, problem-solving skills, and curiosity about business, fraud, and risk drivers
  • A drive to learn new technologies, fraud patterns, risk techniques, and industry context

Preferred
  • Experience in fraud analytics, risk analytics, credit risk, underwriting, payments fraud, marketplace fraud, identity verification, logistics, freight brokerage, factoring, asset-based lending, SMB lending, commercial lending, or financial services
  • Experience building or supporting fraud detection, anomaly detection, risk scoring, credit scoring, identity risk, or transaction monitoring models
  • Experience working with adversarial risk problems where bad actors change behavior in response to controls
  • Experience with entity resolution, graph analytics, network analysis, behavioral analytics, or relationship-based risk detection
  • Experience working with invoice, payment, bank account, carrier, debtor, customer, document, device, or transaction-level data
  • Experience partnering with Product, Engineering, Operations, Credit, Risk, or Compliance teams to move analytical work into business processes or production systems

Apply Today!
We're so excited to connect with you! If you want to work with forward-thinking people in an award-winning culture, submit your application today.
#LI-MB1 #LI-Onsite
Having trouble submitting your application? Contact us at Recruiting@shamrocktradingcorp.com for support.

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