Job Location: Homewood, IL
At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you are part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters.
Join us!
Job Summary
The Data Scientist is responsible for conducting detailed analyses of data sets and
providing advanced analytics solutions to solve business problems, while leveraging
statistical, machine learning, and optimization techniques. The incumbent is part of the
team overseeing CN’s ongoing transformation to move forward with Artificial Intelligence
(AI) automation in virtually every aspect of its business. This transformation will have a
significant impact in enabling the organization to differentiate itself from competitors and
ensure sustained profitability.
Main Responsibilities
- Apply statistical and machine learning knowledge to specific business problems
and data
- Develop initiatives to assist Engineering, Logistics, and Mechanical teams in a
number of highly technical areas
- Use data science techniques to find data patterns, anomalies, and optimization
opportunities
- Interpret, translate, and communicate analytical findings to business stakeholders
- Tackle and solve complex analytical problems using quantitative approaches
- Collaborate to implement data best practices through the Data Lab, Data Hub, and
Data Lake teams
- Work in an agile environment including regular meetings, sprints, Kanban, etc.
Working Conditions
The role has standard working conditions in an office environment with a regular
workweek from Monday to Friday. The role requires minimal travel (up to 5% of the time)
for field visits.
Experience
- Minimum 5 years of overall work experience
- Experience in analytics, data science with a focus on driving business,
engineering, and mechanical decisions
- Experience developing Machine Learning and statistical models
- Experience using Power BI, Tableau to deliver insight*
- Any experience for these above would be considered as an asset
Education/Certification/Designation
- Master’s Degree or PhD in Statistics, Mathematics, Quantitative Methods, or
equivalent
Competencies
- Inspires others with impactful communications and adapts to the audience through
speech and writing
- Applies analytical thinking
- Innovates through problem solving
- Knows the business and stays current with industry trends to elevate expertise and
work
- Demonstrates organizational abilities
- Collaborates with key internal stakeholders to enable higher productivity
- Works independently with little supervision
Technical Skills/Knowledge
- Knowledge of Databricks, Structured Query Language (SQL), Python, R, and
Scala
About CN
CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
CN is an Equal Employment Opportunity Employer. It is our policy to fill vacant positions with qualified candidates without regard to race, color, sex, religion, national origin, age, or disability, assuming an individual can perform the essential functions of the job with or without accommodation. Only qualified candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.
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