Senior Specialist, Data Science

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, 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.

• 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.