Senior Data Scientist

Job Description

A client of Insight Global is looking for someone to join their Detector Analytics Team. The team is seeking an experienced and self-driven Data Scientist to join our team. The client is implementing bionic-like sensors across its network that can see, hear, and feel operating conditions. We process large volumes of data at the edge and stream data from sensors to the cloud for additional processing. As a Data Scientist, you will leverage this data for analysis, developing predictive models, and providing actional insights to support our Operations teams in proactively maintaining Locomotives and Cars.

Required Skills & Experience
• Master’s degree in Operations Research, Industrial Engineering, Data Science, Applied Mathematics, Computer Science or a related field.
• Minimum of 10 years' experience in an Information Technology environment.
• Strong programming skills in various programming languages, such as Python, PySpark, Statistical modeling, Databricks, Java, and SQL.
• Expertise using commercial solver software, such as CPLEX, Gurobi, or Anylogic, ML/AI, Heuristics, and Operations Research.
• Knowledge of machine learning techniques and their real-world advantages/drawbacks, and the ability to develop the models to solve real-world problems.
• Ability to manipulate and extract information from very large, complex data sets.
• Ability to identify underlying problems and apply quantitative techniques to solving them.
• Ability to work in the Azure Databricks environment or similar.
• Excellent written, verbal, and interpersonal communication skills.
• Experience with any cloud infrastructure primarily focusing on AWS or Azure.
• Good organization and prioritization skills with the ability to multi-task.

Nice to Have Skills & Experience
• Experience in the Transportation or logistics domain with a focus on Condition Based Maintenance.
• Ph.D. is a plus.
• Integration with 3rd party vendor solutions
• Proven ability to quickly adapt to changing priorities, requirements, etc. to meet business needs.
• Strong data visualization tools, report writing, and data analytics skills.

DUTIES/RESPONSIBILITIES:

This position will be part of the Technology Services department supporting the Detector Analytics Team to improve the rolling stock's safety, availability, reliability, and velocity by minimizing derailments and service interruptions. This vision is realized by leveraging the data from an industrial sensor network and the Internet of Things (IoT) approach to enable condition-based maintenance for all rail cars on the network.
• Interface with internal customers and cross-functional teams to understand the business requirements and translate them into data-driven solutions.
• Extract, clean, and preprocess large volumes of data from various sources.
• Perform exploratory data analysis to identify trends and patterns
• Develop and Implement machine learning models and algorithms
• Develop decision support tools to help solve business problems.
• Identify and implement solution techniques independently, with external vendors, through academic alliances, or with BNSF teams.
• Work with end-users to validate and enhance the decision support systems.
• Communicate status and findings to senior management and key stakeholders through data visualization and reports.
• Keep current with the advances in analytical techniques, including open-source libraries.
• Ensure reliable logging, monitoring, and alerting tools are effectively used to ensure high availability.
• Direct other employees, contracted service providers, or suppliers of products or services to produce the required results.
• Lead and provide on-call 7x24 second-level application development support for in-house developed applications.