Job Description
We are looking for a Senior Data Scientist on a multinational Fortune 500 project in Canada. Shape innovative solutions and drive technological excellence. Apply now to be a valued member of our client's dynamic team.
It is a Permanent (full-time) role in Canada, offering 100% remote work flexibility.
Responsibilities
It is a Permanent (full-time) role in Canada, offering 100% remote work flexibility.
Responsibilities
- Work on a variety of problems that better understand how customers use the Company products and what drives deeper adoption and usage of products.
- Apply your quantitative analysis, data mining, and machine learning expertise to build models that influence product development, strategy, and roadmap prioritization.
- Design and implement machine learning pipelines that improve product evidence-based decision-making capabilities.
- Partner with senior cross-functional leaders including Product, Product Marketing, Engineering, and Design to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact.
- You will provide technical leadership and mentorship for less-experienced members of the team to deliver key ML-powered features for our Digital Customer Platform.
- MS/PhD in a quantitative field: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields.
- 5+ years of industry experience and a passion for designing, analyzing, and deploying machine learning-based solutions.
- Experience with Large Language Models (RAG, Generative AI) and NLP.
- Experience working with relational SQL and/or NoSQL databases.
- Experience working with big data platforms (Hadoop, Spark, Hive).
- Fluency with one or more programming languages: Python, Java, Scala, etc.
- Experience with data science toolkits like pandas, Jupyter, scikit, TensorFlow, etc.
- Familiarity with Machine Learning techniques, e.g., classification, clustering, regularization, optimization, dimension reduction, etc.
- Ability to write high-quality, well-documented, scalable code - Python preferred.
- Strong communication skills with the ability to explain complex/technical work to a non-technical audience and to present data effectively.
- Good experience with cloud computing (AWS)
- Familiarity with MLOps, and ability to optimize ML workflows in production environments.
- Experience leading research resulting in publications.