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Remote Associate Applied Science Jobs in Kansas (NOW HIRING)

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... Deep, hands-on technical expertise across the full data science and applied AI stack. * Advanced ...

Overstory

... applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field * Deep expertise in remote sensing and ...

Sony

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

Sony

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

Sony

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

Sony

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

Sony

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

Veristat

$128K - $169K/yr

Flexible, inclusive culture - 70% remote workforce, 66% women-led teams Learn more about our core ... Advanced Scientific degree such as Master's degree, Ph.D. or Pharm.D. preferred, with applied ...

Naic

Catastrophe Risk Modeler

Kansas City, KS · On-site +1

$125K - $162K/yr

This is a full-time remote position. Residency within the United States is required ... such as applied mathematics, actuarial science, statistics, data science, insurance, risk ...

Block

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

New

Block

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

New

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All JobsAssociate Applied Science JobsRemote Associate Applied Science JobsRemote Associate Applied Science Jobs in Kansas

Remote Associate Applied Science information

What is the difference between Remote Associate Applied Science vs Remote Data Analyst?

AspectRemote Associate Applied ScienceRemote Data Analyst
Required CredentialsBachelor's degree in applied science, engineering, or related fieldBachelor's degree in statistics, mathematics, or related field
Work EnvironmentCollaborative, often in research or technical teamsData-focused, analytical tasks often in business or tech sectors
Employer & Industry UsageResearch institutions, tech companies, manufacturingFinance, marketing, healthcare, tech companies
Common Search & ComparisonYesYes

The Remote Associate Applied Science role typically involves applied research and technical problem-solving in scientific or engineering contexts, requiring a background in applied science. In contrast, a Remote Data Analyst focuses on interpreting data to inform business decisions, often with a background in statistics or mathematics. Both roles are remote, collaborative, and industry-relevant, but they serve different functions within organizations.

What can I do with my associate in applied science?

A Remote Associate Applied Science position typically involves applying scientific principles to solve practical problems, often in fields like technology, healthcare, or manufacturing. With this degree, you can pursue roles such as technician, research assistant, or quality control specialist, often requiring familiarity with industry-specific tools and certifications. Career options depend on your specialization and additional skills acquired during your studies.

What remote jobs can you get with a Remote Associate Applied Science?

A Remote Associate in Applied Science can qualify for various remote roles such as research assistant, data analyst, technical support specialist, or project coordinator, often requiring skills in data management, communication, and problem-solving. These positions typically involve working with digital tools and may require relevant certifications or technical knowledge. Opportunities are available across industries like healthcare, technology, and education, with flexible schedules common in remote work environments.

What are popular job titles related to Remote Associate Applied Science jobs in Kansas?

For Remote Associate Applied Science jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Remote Associate Applied Science jobs in Kansas look for?

The top searched job categories for Remote Associate Applied Science jobs in Kansas are:

What cities in Kansas are hiring for Remote Associate Applied Science jobs?

Cities in Kansas with the most Remote Associate Applied Science job openings:

Remote Associate Applied Science jobs near you
Infographic showing various Remote Associate Applied Science job openings in Kansas as of August 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 100% Remote job distribution.

Sr Data & AI Scientist

Ascend Learning

Leawood, KS • On-site, Remote

$151K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Ascend Learning rating

8.7

Company rating: 8.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

11th of 225 rated education and training

Job description

We Impact Lives Through Purpose-Driven Work in A People First Culture
Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers.
Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 Greatest Workplaces as well as America's Best Places to work for Mental Well-Being for 2025.
We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.
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 learning use cases. This role designs and implements advanced analytical and AI/LLM-based solutions - including generative AI and conversational data-access tools - that span multiple business functions, translating complex business needs into scalable, high-value data science and AI solutions.
WHERE YOU'LL WORK
  • You will work a hybrid schedule from our Leawood, KS or will consider remote within the United States

HOW YOU'LL SPEND YOUR TIME
  • Implement enterprise data AI strategy to drive data-readiness, and enable AI adoption: identify and evaluate opportunities to apply artificial intelligence and generative AI data analytics across the organization, and assess and improve the quality, structure, and governance of enterprise data so it is fit for AI and machine learning use.
  • Design and build large language model-based tools and interfaces (e.g., Claude) that let business users and internal platforms query and act on organizational data using natural language, increasing AI adoption and self-service access to data-driven insights.
  • Design, build, and refresh machine learning and AI models: conduct experiments and proof-of-concept research, prepare data, and develop the underlying data models and databases needed to support new and existing business initiatives, applying disciplined engineering practices such as version control, automated testing, and documentation to ensure reliable, reproducible solutions.
  • Convert business questions into analytical solutions: translate business needs into clearly defined analytics problem statements, interpret results using techniques ranging from simple data aggregation to complex data mining, and apply data science methods to support functions such as sales targeting, so business partners can make informed, data-driven decisions.
  • Partner with leadership and technical teams across the organization: collaborate with Engineering, Data, and Operations teams to embed data science and AI capabilities into products and workflows, and work directly with business leaders and end-users from concept through delivery to understand business trends, needs, and problems.

WHAT YOU'LL NEED
Education & Years of Experience
  • 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 learning, and artificial intelligence projects in industry, with a strong and growing emphasis on applied AI and generative AI/large language model-based solutions.

Key Skills and Abilities/Qualifications
  • Deep, hands-on technical expertise across the full data science and applied AI stack.
  • Advanced proficiency with data science toolkits (e.g., Python NumPy, SciPy, Scikit-learn, TensorFlow, R, Spark ML, Azure ML), programming and scripting for reproducible analysis, and building classification, regression, clustering, and deep learning models.
  • Specialized knowledge of generative AI and large language model tooling and frameworks (e.g., retrieval-augmented generation, prompt engineering, vector embeddings), and hands-on experience defining semantic models and metadata within Snowflake so enterprise data is reliably consumable by both business users and AI systems.
  • Strong applied statistics skills, experience with both relational and NoSQL databases, and familiarity with data visualization tools.
  • Judgment to translate ambiguous business requirements into well-defined, high-value solutions.
  • Ability to do minimal travel, less than 10%.

HIRING RANGE
The current full-time, annualized base pay hiring range for this role is $151,000.00-$215,930.00. In accordance with applicable state laws, we are providing the expected pay range for this position. Individual compensation will be determined by various factors, including relevant experience, qualifications, current business needs and local market factors. Most regular, full-time employees are eligible to participate in an Ascend incentive bonus or sales plan.
BENEFITS
  • Health, dental, and vision insurance
  • Company paid life Insurance
  • 401(k) with company match
  • Paid time off and parental leave
  • Employee assistance program
  • Other wellness programs such as Headspace and Airvet
  • Charitable matching program

Fostering A Sense of Belonging
Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.
Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.

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