Expert, Data Scientist

at  CN

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.
At CN, we are dedicated to building North America’s safest, most inclusive and sustainable railroad, which includes reflecting the communities in which we operate. Research shows that candidates from underrepresented groups often don’t apply unless they feel they fit the job posting at 100%. Even if you don’t see yourself in every job requirement listed in a posting, we still encourage you to apply. If you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations), please reach out to our team at cnrecruitment@cn.ca.
As an equal employment opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, and other protected status as required by applicable law. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email

Please refer the Job description for details