About Company
IBM Canada is a leading technology and consulting employer, part of the global IBM corporation. With a legacy of innovation spanning over a century, IBM is at the forefront of AI, cloud, blockchain, and quantum computing. While our roots are deeply embedded in the Canadian landscape, our mission is global. IBM Canada proudly contributes to IBM’s worldwide initiatives, bringing world-class expertise and solutions to complex challenges across various industries. We are a diverse and inclusive employer, committed to fostering an environment where every employee can thrive, learn, and make a significant impact on the world. Joining IBM Canada means becoming part of a team that’s building the future of technology, delivering groundbreaking innovations that empower businesses and transform lives. Our commitment to research and development, coupled with a strong ethical framework, ensures that our contributions are not only technologically advanced but also responsible and beneficial to society. We believe in continuous learning, professional growth, and creating a workplace where diverse perspectives drive innovation.
Job Description
Are you a passionate Data Scientist eager to leverage vast datasets and advanced analytical techniques to uncover transformative insights? IBM Canada is seeking an exceptional Data Scientist to join our innovative team, working within our extended North American operations to solve complex business problems from our Harrington, Delaware hub. In this pivotal role, you will be at the intersection of data, technology, and business strategy. You will design, develop, and deploy cutting-edge machine learning models and statistical analyses that drive strategic decision-making and product innovation. This role demands a curious mind, a strong analytical foundation, and the ability to communicate complex findings to diverse audiences. You will work on challenging projects, ranging from predictive analytics and optimization to natural language processing and computer vision, contributing directly to IBM’s market leadership and client success. We foster a collaborative environment where continuous learning and knowledge sharing are paramount. If you thrive on transforming raw data into actionable intelligence and are dedicated to pushing the boundaries of what’s possible with data, we encourage you to apply. This is an unparalleled opportunity to shape the future with a global technology leader, making a tangible impact on projects that matter. You will be instrumental in building robust data pipelines, evaluating model performance, and ensuring the scalability and reliability of our analytical solutions. Your expertise will not only enhance our offerings but also contribute to the ethical and responsible deployment of AI across various industries. Join us and be part of a team that’s defining the next generation of data-driven solutions.
Key Responsibilities
- Design, develop, and implement advanced machine learning models and statistical algorithms.
- Perform complex data analysis, interpretation, and visualization to extract actionable insights.
- Collaborate with engineering and product teams to integrate models into production systems.
- Develop and maintain robust data pipelines and data processing frameworks.
- Communicate findings and recommendations effectively to technical and non-technical stakeholders.
- Conduct experiments, evaluate model performance, and iterate on solutions for continuous improvement.
- Stay abreast of the latest advancements in data science, machine learning, and AI research.
- Ensure the ethical and responsible application of data science techniques and AI models.
Required Skills
- Proficiency in Python or R for data analysis and machine learning.
- Strong understanding of statistical modeling, machine learning algorithms, and deep learning concepts.
- Experience with SQL and working with large datasets.
- Familiarity with cloud platforms (e.g., IBM Cloud, AWS, Azure, GCP).
- Solid understanding of data structures, algorithms, and software development best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to communicate complex technical concepts clearly and concisely.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Familiarity with MLOps practices and tools for deploying and managing ML models.
- Experience with specialized ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Domain expertise in relevant industries (e.g., finance, healthcare, manufacturing).
- Demonstrated experience with natural language processing or computer vision.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- 401(k) matching and retirement planning options.
- Generous paid time off, including vacation, sick leave, and holidays.
- Opportunities for professional development, training, and continuous learning.
- Flexible work arrangements where applicable.
- Employee assistance programs and wellness initiatives.
- Access to IBM's global network of experts and resources.
- Employee discounts on IBM products and services.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and cover letter directly through the IBM careers portal. Please highlight your relevant experience and qualifications for this role. We look forward to reviewing your application.