**Overview**:
• *Responsibilities**:
Research, design, implement, and validate ML Pipelines while collaborating with other data scientists.
Balance adding new features with the need for stability and performance.
Grow development capabilities to align with the pace of business needs.
• *Qualifications**:
Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or similar discipline with industrial experience in software development
5+ years of experience with Python coding
5+ years of recent experience working as a Data Scientist in industry
Experience with Spark and PySpark
Experience with developing production-grade code, preferably in Python
Experience with data science and machine learning, including Python libraries such as NumPy, SciPy, Pandas and Scikit-learn
Strong professional written and verbal communication skills
Ability to pass a Data Science skills-based test
Experience with relational or NoSQL databases such as Oracle/Cassandra/Redis or similar
Ability to create model-ready data from raw data, at scale
Ability to translate business problems into data science pipelines
• *Pay Range**: CAD $140,701.00 - CAD $165,531.00 /Yr.
