Senior Specialist, Data Science

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

Job summary

Soo Line Railroad Company in Kansas City seeks a Senior Specialist, Data Science to develop advanced ML models and scalable data pipelines for large-scale operational datasets. You will analyze data, build predictive models for maintenance and capacity, and collaborate with engineering to deploy, monitor, and govern analytics solutions.

The role requires strong SQL/Python skills, 3–5 years of experience in analytics, and the ability to communicate insights to technical and non-technical

Qualifications

• Bachelor’s degree or U.S. equivalent in Computer Science, Information Systems, Information Technology, Computer Engineering, or related field with 5 years of professional data analysis/engineering experience.
• Master’s degree or U.S. equivalent in similar fields with 3 years of professional experience in data analysis/engineering acceptable in lieu of the degree.
• 3 years of experience with SQL data analysis, profiling, validation, and extracting actionable insights.

Responsibilities

• Develop and implement advanced statistical and ML models for large-scale operational data.
• Design scalable data pipelines and feature engineering for model deployment.
• Perform exploratory data analysis and apply statistical techniques to identify patterns and trends.
• Develop predictive models for demand forecasting, anomaly detection, predictive maintenance, and optimization.
• Evaluate model performance and refine for accuracy and robustness.
• Collaborate with engineering teams to deploy and monitor models in production.
• Analyze data using Python/SQL and leverage ML libraries.
• Translate business problems into analytics frameworks and communicate insights.
• Maintain documentation for data models and analytics processes.
• Create data visualizations and analytical reports communicating outputs and KPIs.

Skills

Python

SQL

Machine Learning

Statistics

Data Analysis

Data Visualization

Education

Bachelor's degree in CS/IS/IT/Engineering

Master's degree (preferred)

Tools

ETL

Big Data

Job description

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

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; and Create data visualizations and analytical reports to communicate model outputs, trends, and key performance indicators. Salary: $120,723 - 140,000 per year.

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.

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; and 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.