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Data Science Jobs in Kansas (NOW HIRING)

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Manager, Data Engineering

Kansas City, KS · On-site

Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects * 4 ...

Propio Language Services

AI Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI ...

Propio

AI Engineer

Leawood, KS

$111.40K - $133.80K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI ...

Propio

AI Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI ...

StackAdapt

$91K - $123.60K/yr

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer-facing teams to make data accurate, timely, scalable, and easy ...

StackAdapt

$98.30K - $118K/yr

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer-facing teams to make data accurate, timely, scalable, and easy ...

Velocity Staff

Senior Data Engineer

Overland Park, KS

$104.70K - $142.30K/yr

Bachelor's degree in computer science, data science or related technical field, or equivalent practical experience * Proven experience with relational and NoSQL databases (e.g. Postgres, Redshift ...

Truity Credit Union

Data & AI Engineer

Lawrence, KS

$104.50K - $125.50K/yr

Bachelor's degree in Data Science, Computer Science, or related technical field. * 5+ years of experience in data engineering, analytics, or scripting-heavy roles . * 2+ years working with AI/ML ...

TRUITY CREDIT UNION

Data & AI Engineer

Kansas City, KS

$110.40K - $132.60K/yr

Bachelors degree in Data Science, Computer Science, or related technical field. * 5+ years of experience in data engineering, analytics, or scripting-heavy roles . * 2+ years working with AI/ML tools ...

Truity Credit Union

Data & AI Engineer

Kansas City, KS

$104.50K - $125.50K/yr

Bachelor's degree in Data Science, Computer Science, or related technical field. * 5+ years of experience in data engineering, analytics, or scripting-heavy roles . * 2+ years working with AI/ML ...

Inficare Technologies

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions. * Implement data validation, monitoring, and error-handling ...

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Data Science information

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$33.4K

$109.5K

$175.2K

How much do data science jobs pay per year?

As of May 30, 2026, the average yearly pay for data science 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 Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Kansas? The most popular types of Data Science jobs in Kansas are:
What are popular job titles related to Data Science jobs in Kansas? For Data Science jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Kansas look for? The top searched job categories for Data Science jobs in Kansas are:
What cities in Kansas are hiring for Data Science jobs? Cities in Kansas with the most Data Science job openings:
Data Science jobs near you
Manager, Data Engineering

Manager, Data Engineering

Reply

Kansas City, KS • On-site

Full-time

Posted 5 days ago

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.
Responsibilities
  • Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
  • Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
  • Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
  • Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
  • Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
  • Collaborating with project management to plan work for delivery teams and verifying quality deliverables

Minimum Requirements
  • Bachelor's degree in computer science or related field
  • 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
  • 4 years of experience in a consulting role working directly with Enterprise customers
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
  • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
  • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
  • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies

Preferred Qualifications
  • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
  • Knowledge and familiarity with Microsoft Purview
  • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
  • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
  • Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra

About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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