Manager, Data Science
6 months ago
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 Manager, Data Science & AI team will play a pivotal role in driving CN Data Services data-driven strategy, leading a team of talented data scientists, and collaborating cross-functionally to develop innovative solutions. He will be responsible for overseeing the end-to-end process of data analysis, modeling, and interpretation, while providing strategic direction, mentorship, and guidance to team members.
**Main Responsibilities**
- Lead and manage a team of data scientists, setting clear objectives, providing mentorship, and fostering a collaborative and innovative team culture.
- Drive the development and implementation of cutting-edge machine learning models, algorithms, and statistical techniques to extract meaningful insights from complex data sets.
- Collaborate closely with cross-functional teams, including Finance, Marketing, Operations, Engineering, and various I&T departments, to identify opportunities and deliver data-driven solutions that address business challenges.
- Develop and implement best practices for data collection, processing, cleansing, and validation to ensure data quality and integrity.
- Present findings, insights, and recommendations to key stakeholders in a clear and understandable manner to drive informed decision-making.
**Requirements**:
**Experience**
- Minimum 7 years overall work experience
- Proven experience (3 years) in a managerial or leadership role within a data science team or related field.
- Extensive knowledge and practical experience in machine learning, statistical modeling, predictive analytics, and data visualization techniques.
- Experience working in railroad industry is preferred.
**Education/Certification/Designation**
- Bachelor’s/Masters degree or PhD in Statistics, Mathematics, Quantitative Methods or equivalent.
**Competencies**
- Leadership and team management
- Problem-solving skills
- Communication skills
- Business acumen
- Project management
- Adaptability and continuous learning
- Ethical and regulatory awareness
- Collaboration and cross-functional skills
- Strategic thinking
**Technical Skills/Knowledge**
- Knowledge of databases (SQL, NoSQL, Graph, Search, Time-Series)
- Knowledge of business intelligence (OLAP, cubes, Power BI, Tableau)
- Knowledge of data engineering (Azure Data Factory, Databricks)
- Knowledge of data science life cycle (CRISP-DM, Microsoft TDSP)
- Knowledge of DevOps/MLOps (Databricks, Azure ML, MLflow)
- Knowledge of programming languages (SQL, Python, R, Scala)
- Knowledge of frameworks and libraries (TensorFlow, PyTorch, Pandas, PySpark).
**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.
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