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Data Scientist Analyst Jobs in Kansas (NOW HIRING)

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

This role designs and implements advanced analytical and AI/LLM-based solutions - including ... Advanced proficiency with data science toolkits (e.g., Python NumPy, SciPy, Scikit-learn ...

Overstory

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery ...

AEG

Data Analyst

Kansas City, KS · On-site

Bachelor's degree in data science or related STEM subject. * Experience using SQL and Python and/or R for data management and analysis. * Previous experience working with Tableau or other equivalent ...

Sporting Kansas City

Data Analyst

Kansas City, KS · On-site

Bachelor's degree in data science or related STEM subject. * Experience using SQL and Python and/or R for data management and analysis. * Previous experience working with Tableau or other equivalent ...

TERRACON

Data Analyst I

Olathe, KS · On-site +1

$62K - $87K/yr

Bachelor's degree in GIS, geography, data science, environmental science, engineering, computer science or related field. Or, in lieu of a degree, a minimum of 4 years' related experience. * Master ...

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How much do data scientist analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data scientist analyst in Kansas is $38.47, according to ZipRecruiter salary data. Most workers in this role earn between $31.84 and $46.69 per hour, depending on experience, location, and employer.

What is a data scientist analyst?

A Data Scientist Analyst is responsible for collecting, processing, and analyzing large datasets to extract meaningful insights that drive business decisions. They use statistical methods, machine learning, and data visualization tools to identify trends, patterns, and correlations. This role typically requires proficiency in programming languages like Python or R, as well as experience with databases and data manipulation tools. Data Scientist Analysts work closely with business stakeholders to translate data findings into actionable recommendations.

What are the key skills and qualifications needed to thrive as a data scientist analyst?

To thrive as a Data Scientist Analyst, you need strong analytical skills, knowledge of statistics and machine learning, proficiency in programming languages like Python or R, and typically at least a bachelor's degree in a related field. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and relevant certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are commonly expected. Effective problem-solving, communication, and collaboration abilities are key soft skills for success in this role. These skills ensure that data-driven insights can be efficiently derived, interpreted, and communicated to support informed business decisions.

What are the typical career growth opportunities for a data scientist analyst?

As a Data Scientist Analyst, you can advance into roles such as Senior Data Scientist, Machine Learning Engineer, or Data Science Manager with experience and demonstrated expertise. Many organizations support professional development through mentorship programs, advanced training, or opportunities to lead key projects. Over time, building a robust portfolio of impactful analyses and data-driven recommendations can help propel your career forward. Collaboration across technical and business teams is common, providing a broad understanding of how data informs strategic decisions and opening pathways to leadership or more specialized analytics roles.

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Data Scientist Analyst jobs near you
Infographic showing various Data Scientist Analyst job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $80,027 per year, or $38.5 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 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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