Senior Specialist, Data Science

CPKC; Kansas City (MO); On-site; USD 121,000 - 140,000; Full time

Job summary

Soo Line Railroad Company in Kansas City, MO seeks a Senior Specialist, Data Science to advance analytics that improve performance, reliability, and efficiency. Lead statistical modeling and ML initiatives using large-scale datasets and collaborate with engineering for production deployment.

Ideal candidates have strong Python/SQL skills, experience with data pipelines, and a track record in predictive analytics for operations.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field plus 5 years of data analysis experience.
• Master’s degree plus 3 years of experience accepted in lieu of the bachelor’s + 5 years.
• 3 years of experience with SQL data profiling and data validation.
• 3 years of experience building data pipelines and ETL processes.
• 3 years of experience applying statistical analysis and predictive modeling.

Responsibilities

• Develop and implement advanced statistical and machine learning models for large-scale datasets.
• Design scalable data pipelines and feature engineering for model development and deployment.
• Perform exploratory data analysis to identify patterns and trends across complex datasets.
• Develop predictive models for demand forecasting, anomaly detection, maintenance, and optimization.
• Evaluate model performance and refine models for accuracy and robustness.
• Integrate ML models into production with engineering teams for deployment and monitoring.
• Analyze data with Python and SQL using statistical libraries.
• Design experiments and conduct hypothesis testing to support decisions.
• Translate business problems into analytical frameworks and communicate actionable insights.
• Document data models, methodologies, and analytics workflows for reproducibility.
• Collaborate with cross-functional teams to align analytics with business goals.
• Create visualizations and reports to communicate model outputs and KPIs.

Skills

Statistical analysis

Machine learning

Data analysis

Python

SQL

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in related field (alternative)

Tools

Relational databases

Job description

Posting Start Date: 9/1/26

Senior Specialist, Data Science (Soo Line Railroad Company, Kansas City, Missouri)

Salary: $120,723 - 140,000 per year.

Responsibilities

• Develop and implement advanced statistical and machine learning models to analyze large-scale operational datasets and generate predictive insights related to performance, reliability, and efficiency
• Design and build scalable data pipelines and feature engineering processes to support model development, training, and deployment
• Perform exploratory data analysis and apply statistical techniques to identify patterns, trends, and relationships across complex datasets
• Develop predictive models for use cases such as demand forecasting, anomaly detection, predictive maintenance, and operational optimization
• Evaluate model performance using appropriate metrics and refine models to improve accuracy, robustness, and generalizability
• Integrate machine learning models into production environments, collaborating with engineering teams to support deployment and monitoring
• Analyze large and complex datasets using programming languages such as Python and SQL, and leverage libraries for statistical analysis and machine learning
• Design experiments and conduct hypothesis testing to support data-driven decision-making and validate business assumptions
• Translate business problems into analytical frameworks and communicate findings, insights, and recommendations to technical and non-technical stakeholders
• Develop and maintain documentation for data models, methodologies, and analytical processes to support reproducibility and governance
• Collaborate with cross-functional teams to identify opportunities for applying advanced analytics and to align modeling approaches with business objectives
• Create data visualizations and analytical reports to communicate model outputs, trends, and key performance indicators

Minimum Requirements

Bachelor’s degree or its U.S. equivalent in Computer Science, Information Systems, Information Technology, Computer Engineering, or a related field, plus 5 years of professional experience as a Software Engineer, Data Analyst, or any occupation, job title, position involving conducting data analysis, data manipulation, automation and statistical analysis.

Alternative Requirements

In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or its U.S. equivalent in Computer Science, Information Systems, Information Technology, Computer Engineering, or a related field, plus 3 years of professional experience as a Software Engineer, Data Analyst, or any occupation, job title, position involving conducting data analysis, data manipulation, automation and statistical analysis.

Must also have experience in the following

• 3 years of professional experience conducting data analysis using SQL, including data profiling, data validation, and extracting actionable insights from large data sets
• 3 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
• 3 years of professional experience performing data manipulation, automation, and statistical analysis, including building and maintaining data pipelines and ETL processes to integrate data from multiple automotive-related data sources
• 3 years of professional experience applying statistical analysis and predictive modeling techniques, including regression analysis, time-series forecasting, and machine learning, to operations data for insights including predictive maintenance and capacity forecasting
• 3 years of professional experience documenting SQL queries, logic, data workflows, and analytics results for technical and non-technical stakeholders
• 3 years of professional experience collaborating with cross-functional teams, including business, IT, and finance, to gather requirements, clarify business needs, and deliver solutions strictly using SQL