> Markdown version of [/jobs/ext/2467737-senior-specialist-data-science](https://www.wearedevelopers.com/jobs/ext/2467737-senior-specialist-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Specialist, Data Science

- **Company:** Canadian Pacific Kansas City
- **Location:** Kansas City, MO, United States
- **Experience:** Expert
- **Salary:** $120,723.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Systems, Computer Engineering, Data Governance, Extract Transform Load (ETL), Relational Databases, Database Design, Executive Information Systems, Meta-Data Management, Regression Analysis, Performance Tuning, Power BI, SQL Stored Procedures, SQL Databases, Tableau (Software), Data Processing, Freeform SQL, Sql Optimization, Information Technology, Data Lineage, Data Analytics, Qlikview, Data Management, Data Pipelines
- **Published:** August 2, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17791577?backUrl=%2Fcareer%2F17791577%2FSenior-Specialist-Data-Science-Missouri-Kansas-City

## About the Role

$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.

## Description

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


## Related Videos

- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata)
- [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles)
- [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data)

## Related Articles

- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)
- [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)
- [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer)