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Applied Technology information

What is an applied technology?

An Applied Technology job involves using practical technical skills and knowledge to solve real-world problems in various industries, such as manufacturing, IT, healthcare, and engineering. Professionals in this field work with emerging technologies, troubleshoot technical issues, and improve processes by integrating innovative tools and systems. These roles often require expertise in automation, computer systems, networking, and equipment maintenance. Careers in Applied Technology can range from technical support specialists to systems analysts and robotics technicians.

What types of projects do professionals in applied technology typically work on?

Applied Technology professionals often work on projects that bridge the gap between technical innovations and real-world business applications, such as implementing automation systems, developing custom software solutions, or optimizing data workflows. Depending on the industry, you might collaborate closely with IT, operations, and engineering teams to tailor technology solutions to meet specific business needs. It’s common to manage multiple projects simultaneously, each with unique goals and timelines. This dynamic and collaborative environment offers opportunities for continuous learning and career advancement as you tackle diverse technical challenges.

What are the key skills and qualifications needed to thrive in the applied technology position, and why are they important?

To thrive in an Applied Technology role, you need a solid foundation in computer science, engineering principles, and problem-solving, often supported by a relevant bachelor’s degree. Familiarity with software development tools, data analytics platforms, and industry-specific systems or certifications is commonly required. Strong communication, project management, and adaptability are key soft skills that enable effective collaboration with multidisciplinary teams and stakeholders. These skills are essential for integrating innovative technologies into practical solutions that support organizational goals.

What jobs can you get with applied technology?

Applied technology skills can lead to jobs such as systems analyst, technical support specialist, IT project manager, network administrator, and software developer. These roles often require knowledge of programming, networking, and technical problem-solving, and may involve working in office or lab environments with certifications like CompTIA or Cisco. Job opportunities span industries including healthcare, manufacturing, and information technology.

What are popular job titles related to Applied Technology jobs in Kansas?

For Applied Technology jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Applied Technology jobs in Kansas look for?

The top searched job categories for Applied Technology jobs in Kansas are:

Applied Technology jobs near you
Infographic showing various Applied Technology job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Lead Applied Scientist, Marketing

Socket.dev

Columbus, KS • On-site

Other

Posted 14 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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