Senior Specialist, Data Science

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.

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.