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Senior Meta Data Scientist Jobs in Kansas (NOW HIRING)

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater ... Provide mentorship and share best practices with junior team members under the guidance of senior ...

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 ... Provide mentorship and share best practices with junior team members under the guidance of senior ...

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

WHAT YOU'LL DO The Senior Data and AI Scientist leads strategic data science and AI initiatives across Ascend Learning, driving AI adoption and improving enterprise data readiness for AI and machine ...

Global Partners

Staff Data Scientist

Newton, KS · On-site

$160K - $240K/yr

Global Partners is hiring a Staff Data Scientist to be the senior technical individual contributor for pricing and demand science and applied AI in the Central Data and Analytics Organization.

New

TERRACON

Senior Scientist

Lenexa, KS · On-site

$85K - $116K/yr

Terracon is seeking a highly motivated and experienced Senior Scientist to support and expand our ... Excellent technical expertise in environmental assessment, sampling, and data analysis. * Effective ...

TERRACON

Senior Scientist

Lenexa, KS

$85K - $117K/yr

Terracon is seeking a highly motivated and experienced Senior Scientist to support and expand our ... Excellent technical expertise in environmental assessment, sampling, and data analysis. * Effective ...

Terracon

Senior Scientist

Lenexa, KS · On-site

$90 - $130/hr

Overview Terracon is seeking a highly motivated and experienced Senior Scientist to support and ... Excellent technical expertise in environmental assessment, sampling, and data analysis. * Effective ...

NinjaOne

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join the Analytics ... Partner closely with data scientists to prepare structured and unstructured data for modeling ...

Stantec

Senior Wetland Scientist

Wichita, KS · On-site

$81K - $111K/yr

... senior level lead wetland scientist in the Overland Park (Kansas City), Kansas or St. Louis ... This role involves up to 60% travel, data collection, and reporting related to wetland assessments ...

Stantec

Senior Wetland Scientist

Overland Park, KS · On-site

$86K - $117K/yr

... senior level lead wetland scientist in the Overland Park (Kansas City), Kansas or St. Louis ... This role involves up to 60% travel, data collection, and reporting related to wetland assessments ...

Stantec

Senior Wetland Scientist

Kansas City, KS · On-site

$86K - $118K/yr

... senior level lead wetland scientist in the Overland Park (Kansas City), Kansas or St. Louis ... This role involves up to 60% travel, data collection, and reporting related to wetland assessments ...

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Senior Meta Data Scientist information

What is the difference between Senior Meta Data Scientist vs Data Engineer?

AspectSenior Meta Data ScientistData Engineer
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's or Master's in Computer Science, Software Engineering, or related
Work EnvironmentData analysis, modeling, and statistical researchBuilding and maintaining data pipelines and infrastructure
Employer & Industry UsageTech companies, e-commerce, social media platformsAny industry with large-scale data needs, including finance, healthcare, and tech

The Senior Meta Data Scientist focuses on analyzing data, developing models, and deriving insights, while a Data Engineer primarily builds and manages the data infrastructure. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are the most commonly searched types of Meta Data Scientist jobs in Kansas?

The most popular types of Meta Data Scientist jobs in Kansas are:

What cities in Kansas are hiring for Senior Meta Data Scientist jobs?

Cities in Kansas with the most Senior Meta Data Scientist job openings:

Senior Meta 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 3 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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