Expert, Data Scientist

At CN, we work together to move our company-and North America-forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career 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 Expert Data Scientist is responsible for collaborating with cross-functional teams to identify and prioritize business problems that can be addressed through data science methodologies. The role utilizes advanced analytics techniques to extract insights from complex datasets, develop scalable machine learning pipelines, and design end-to-end data science solutions aligned with business objectives. Additionally, the incumbent communicates findings effectively to both technical and non-technical stakeholders while continuously experimenting and iterating on models to ensure accuracy and robustness. Staying current with advancements in the field, the incumbent proactively seeks opportunities to apply emerging techniques for innovative problem-solving. 

Main Responsibilities 

Technical Development and Implementation  

Utilize advanced analytics techniques to extract insights from large, complex datasets and develop predictive models to support decision-making processes 

Develop and maintain scalable machine learning pipelines using Python, PySpark, and other relevant tools and frameworks 

Design and implement end-to-end data science solutions, from data collection and preprocessing to model development and deployment, ensuring alignment with business objectives and requirements 

Take ownership of projects and provide end-to-end solutions, from initial problem definition to model deployment and monitoring 

Collaboration and Communication  

Collaborate with cross-functional teams to identify and prioritize business problems that can be solved using data science methodologies 

Communicate findings and insights effectively to technical and non-technical stakeholders through clear visualizations, presentations, and reports 

Work closely with Data Engineers to optimize data infrastructure and ensure the availability and reliability of data for analysis, identifying opportunities for improvement and optimization 

Stay current with the latest advancements in data science and technology, and proactively identify opportunities to apply emerging techniques to solve business challenges, driving continuous improvement and innovation 

Experimentation and Continuous Improvement  

Conduct thorough experimentation and evaluation of machine learning models to ensure robustness, accuracy, and generalization, iterating as necessary to achieve desired outcomes 

Demonstrate a hands-on approach to problem-solving, leveraging technical expertise and creativity to overcome challenges and deliver innovative solutions 

Stay current with the latest advancements in data science and technology, and proactively identify opportunities to apply emerging techniques to solve business challenges 

Working Conditions 

The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.  

Requirements 

Experience 

Data Science 

Between 5 to 8 years of hands-on experience in data science, with a strong focus on machine learning, predictive analytics, and statistical modeling 

Experience using libraries and frameworks such as Pandas, NumPy, SciPy, Scikit-learn, and TensorFlow and PyTorch 

Extensive experience working with big data technologies, including PySpark, Databricks, and Apache Spark, for large-scale data processing and analysis 

Experience with cloud platforms such as Azure, or Google Cloud Platform, and familiarity with services such as Databricks Workspace 

Experience with version control systems (e.g., Git) and software development best practices* 

*Any experience for these above would be considered as an asset 

Education/Certification/Designation 

Bachelor's Degree in Computer Science, Statistics, Mathematics, or related field 

Master’s Degree or Doctors of Philosophy (Ph.D.)* 

*Any designation for these above would be considered as an asset 

Competencies  

Applies critical thinking 

Knows the business and stays current on industry needs 

Collaborates with others and shares information 

Communicates with impact 

Identifies needs and finds solutions to create value for all stakeholders 

Leads by example for the safety and security of all 

Identifies potential safety and security risks 

Technical Skills/Knowledge 

Strong knowledge in Java programming language 

Strong understanding of database systems and Structured Query Language (SQL), with the ability to write complex queries for data extraction and manipulation 

Proficiency in programming languages such as Python

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.