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Director Model Validation Jobs in Kansas (NOW HIRING)

Socket.dev

Staff Applied Scientist, AdTech

Columbus, KS · On-site

Establish trusted, direct partnership with vertical business stakeholders * Produce trusted output: validated, documented, low correction burden * Identify and leverage net-new modeling opportunities ...

Propio

AI/LLM Safety Engineer

Overland Park, KS

... model and agent update is validated before it ships. * Lead structured red-teaming exercises ... software, with direct experience working on-or securing-ML/LLM systems. * Strong software ...

Propio

AI/LLM Safety Engineer

Leawood, KS · On-site

... model and agent update is validated before it ships. * Lead structured red-teaming exercises ... with direct experience working on--or securing--ML/LLM systems. * Strong software engineering ...

Reliant Rehabilitation

Physical Therapist

Council Grove, KS · On-site

$1.3K - $1.7K/wk

Maximize patient function and independence through direct and supervised physical therapy * Provide ... Maintain a valid state license and stay informed on industry trends and healthcare regulations

Reliant Rehabilitation

Physical Therapist Assistant

Peabody, KS · On-site

$24.50 - $32.50/hr

... directed learning, and continuing education. * Maintain a current and valid state license and stay ... models, ensuring care meets clinical and regulatory standards. * Follow infection control and ...

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All JobsModel Validation JobsDirector Model Validation JobsDirector Model Validation Jobs in Kansas

Director Model Validation information

See Kansas salary details

$6

$19

$30

How much do director model validation jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for director model validation in Kansas is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $21.44 per hour, depending on experience, location, and employer.

What is the difference between Director Model Validation vs Model Validation Analyst?

AspectDirector Model ValidationModel Validation Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., CFA, FRM)Bachelor’s or Master’s degree, relevant certifications often preferred
Work EnvironmentLeadership roles overseeing teams, strategic planning, cross-department collaborationHands-on analysis, testing models, preparing reports
Industry UsageSenior-level positions in banking, finance, risk managementEntry to mid-level roles supporting validation processes

The main difference is that the Director Model Validation leads and manages validation teams, focusing on strategy and oversight, while the Model Validation Analyst performs detailed testing and analysis under supervision. The director role requires more experience, leadership skills, and higher credentials, whereas the analyst role is more technical and execution-focused.

What are popular job titles related to Director Model Validation jobs in Kansas?

For Director Model Validation jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Director Model Validation jobs in Kansas look for?

The top searched job categories for Director Model Validation jobs in Kansas are:

What cities in Kansas are hiring for Director Model Validation jobs?

Cities in Kansas with the most Director Model Validation job openings:

Director Model Validation jobs near you
Infographic showing various Director Model Validation job openings in Kansas as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $39,819 per year, or $19.1 per hour.

Staff Applied Scientist, AdTech

Socket.dev

Columbus, KS • On-site

Other

Posted 16 days ago

Job description

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

MUST HAVE:
  • Proven experience in digital marketing, performance marketing, or the leadgen industry
  • Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired)
  • Strong modeling fundamentals: the ability to build effective models that drive business impact
  • Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud
  • Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling
  • Expert Python and SQL
EXPERIENCE:

5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact.

YOUR ROLE

Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.

You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS.

OUTCOMES
  • Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact
  • Deliver buying models that maintain positive ROAS and quality
  • Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth
  • Establish trusted, direct partnership with vertical business stakeholders
  • Produce trusted output: validated, documented, low correction burden
  • Identify and leverage net-new modeling opportunities the business has not flagged
COMPETENCIES
  • Business-first framing: Starts with the problem and the metric, not the model.
  • Full-stack ownership: Stays engaged from problem definition through deployed performance
  • Proactive communication: Closes loops without being chased
  • Collaborative: Leans on ML engineering for the last mile rather than working solo
  • Coachable: Seeks feedback and turns it into visible behavior change
  • Curiosity paired with delivery discipline
NICE TO HAVES
  • Sophisticated ML at companies where paid digital media is core to the business model
  • Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models
  • Insurance domain experience
  • Creating state-of-the-art Ad Ranking algorithms
  • Modeling against ad-platform data points (Google, Meta, native)
  • LLMs / deep learning applied to personalization or content
  • Familiarity with Looker

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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