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Computer Science Data Science Jobs in Kansas City, MO

Jobtailor

Data Scientist - Conversational AI

Dearborn, MO · On-site

$120 - $150/hr

A Master's Degree in a quantitative, technical, or related field (e.g., Data Science, Computer Science, Statistics). * Experience: 7+ years of experience in Data Science, Product Analytics, or ...

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software ... Demonstrates expert knowledge in data analysis methods and tools * Demonstrated strong and ...

UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

A Bachelor's Degree in Computer Science, Data Science, Management Information Systems, Business Administration or related discipline or equivalent work experience. * At least 6 years of experience in ...

Jobtailor

Data Scientist

Dearborn, MO · On-site

$90 - $140/hr

Bachelor's degree in Computer Science, Economics, Analytics, Business, Strategy, Finance ... Data Modeling * Python Programming * SQL Database Language * Microsoft Excel ATS Optimization ...

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$36.5K

$119.6K

$191.5K

How much do computer science data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computer science data science in Kansas City, MO is $119,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $132,600.00 per year, depending on experience, location, and employer.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What are popular job titles related to Computer Science Data Science jobs in Kansas City, MO?

For Computer Science Data Science jobs in Kansas City, MO, the most frequently searched job titles are:

What job categories do people searching Computer Science Data Science jobs in Kansas City, MO look for?

The top searched job categories for Computer Science Data Science jobs in Kansas City, MO are:

What cities near Kansas City, MO are hiring for Computer Science Data Science jobs?

Cities near Kansas City, MO with the most Computer Science Data Science job openings:

Computer Science Data Science jobs near you
Infographic showing various Computer Science Data Science job openings in Kansas City, MO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,626 per year, or $57.5 per hour.

Senior Specialist, Data Science

Canadian Pacific Railway

Kansas City, MO • On-site

$120.72 - $140/hr

Other

This job post has expired today. Applications are no longer accepted.

Canadian Pacific rating

7.1

Company rating: 7.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

260th of 495 rated business services

Job description

Design, develop, and implement data-driven models and analytical frameworks to generate predictive insights and support strategic business decision-making; apply statistical methods, data mining techniques, and analytical tools to analyze large datasets and identify patterns, trends, and correlations; develop and optimize data pipelines and data processing workflows using cloud platforms (e.g., AWS) and data warehouse technologies (e.g., Snowflake) to support scalable analytics; perform predictive modeling, scenario analysis, and forecasting to evaluate business performance, risks, and opportunities; establish and maintain data quality frameworks, validation processes, and monitoring systems to ensure accuracy, reliability, and consistency of analytical outputs; design and implement data models, including structured datasets and analytical data marts, to support advanced analytics and reporting use cases; develop and deliver dashboards and data visualizations using tools such as Power BI or Tableau to communicate insights to stakeholders; collaborate with business and technical stakeholders to translate business requirements into data-driven solutions and analytical models; conduct root cause analysis of data and performance issues, and implement data-driven solutions to improve system performance and business outcomes; evaluate and recommend advanced analytics tools, technologies, and methodologies to enhance data science capabilities; apply advanced SQL and programming techniques to extract, manipulate, and analyze data for modeling and reporting purposes; support data governance initiatives, including data lineage, metadata management, and compliance with data standards and regulatory requirements; present analytical findings, models, and recommendations to stakeholders, including executive leadership, to support decision-making; drive continuous improvement through automation, optimization of data processes, and implementation of scalable analytics solutions. Salary: $120,723 - $140,000 per year.

MINIMUM REQUIREMENTS

Bachelor’s degree or its U.S. equivalent in Computer Science, Information Systems, Computer Engineering, or a related field, plus 5 years of professional experience as a Sr. Data Analyst, Data Modeler, or any occupation, job title, position involving data analysis, data management, and database design.

Must also have experience in the following: 5 years of professional experience writing, optimizing, and troubleshooting advanced SQL queries; including complex joins, aggregations, subqueries, stored procedures, functions, and performance tuning in relational databases; 5 years of professional experience performing data manipulation, automation, and statistical analysis, including building robust data pipelines and ETL processes to integrate disparate railroad data sources; 5 years of professional experience documenting SQL queries, logic, data workflows, and analytics results for technical and non-technical stakeholders; 5 years of professional experience working with cross‑functional teams (including business, IT, and finance) to gather requirements, clarify business needs, and deliver solutions strictly via SQL; 4 years of professional experience utilizing statistical analysis, including regression analysis, time‑series forecasting, applied to rail operations data to generate insights; 3 years of professional experience developing executive dashboards and interactive reports using tools including Power BI or Qlik, to communicate operational insights and performance metrics effectively; 3 years of professional experience in rail transportation operations, including knowledge of industry terminology and processes, and applying this knowledge to support analysis and decision‑making in a railroad environment.

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