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Data Science Certificate Jobs in Kansas (NOW HIRING)

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

From testing to certification, Ascend Learning products are used by physicians, emergency medical ... Advanced proficiency with data science toolkits (e.g., Python NumPy, SciPy, Scikit-learn ...

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

The Data Architect is responsible for establishing and evolving the organization's data ... science or related technology degree. - Professional certificate or a graduate degree highly ...

Data Architect

Topeka, KS · Hybrid

$60 - $77.25/hr

The Data Architect is responsible for establishing and evolving the organization's data ... science or related technology degree. - Professional certificate or a graduate degree highly ...

Data Engineer II

Leawood, KS · Hybrid

$111K - $133K/yr

What You Bring BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or ... Ways To Stand Out Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data ...

Data Engineer II

Leawood, KS · Hybrid

$111K - $133K/yr

What You Bring BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or ... Ways To Stand Out Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data ...

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or related field ... Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data Engineer * Hands-on ...

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or related field. * 5 ... Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data Engineer. * Hands-on ...

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or related field. 5-8 ... Ways To Stand Out Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data ...

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

BA/BS/Master's degree in Computer Science, Information Systems, Data Science, or related field. 5-8 ... Ways To Stand Out Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data ...

Science Teacher

Salina, KS · On-site

$45K - $58K/yr

... data information systems, data analysis and the formulation of action plans. - Knowledge of ... Qualifications Profile Certification/License: - Kansas Certification as a Science Teacher with ...

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Data Science Certificate information

See Kansas salary details

$33.4K

$109.5K

$175.2K

How much do data science certificate jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data science certificate in Kansas is $109,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $121,300.00 per year, depending on experience, location, and employer.

What is a data science certificate?

A Data Science Certificate job refers to roles where employers recognize or prefer candidates who have earned a certificate in data science. These positions typically involve analyzing data, building models, and deriving insights using programming, statistics, and machine learning. While a certificate alone may not replace a full degree, it can demonstrate expertise and practical skills to potential employers. Many professionals pursue certificates to transition into data science or enhance their existing qualifications.

What does someone with a data science certificate do?

Professionals with a Data Science Certificate often work on projects involving data cleaning, statistical analysis, building and evaluating predictive models, and creating visualizations to communicate findings. Daily tasks may include collaborating with other data team members or stakeholders to understand business problems, preparing datasets, running machine learning experiments, and presenting actionable insights. The work is usually project-based, offering variety and opportunities to solve real-world problems using data. As you gain experience, you may also contribute to improving data processes or mentor junior team members, further advancing your career.

What skills and qualifications are needed for a data science certificate?

To thrive in data science roles, individuals need strong analytical skills, proficiency in statistics, and experience with programming languages such as Python or R, often formalized through a data science certificate or related degree. Familiarity with data visualization tools, machine learning frameworks, and cloud platforms is essential for daily tasks. Effective communication, problem-solving abilities, and teamwork are valuable soft skills that help interpret complex data and convey insights to diverse audiences. These skills ensure you can manage, analyze, and present data-driven solutions that directly impact organizational decision-making.

What are popular job titles related to Data Science Certificate jobs in Kansas?

For Data Science Certificate jobs in Kansas, the most frequently searched job titles are:

Infographic showing various Data Science Certificate job openings in Kansas as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $109,464 per year, or $52.6 per hour.

Sr Data & AI Scientist

Ascend Learning

Leawood, KS • On-site, Remote

$151K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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 224 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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