Data Scientist - Data Analytics and Infrastructure
- Data Scientist
- Toronto
- $129 K - $200 K
- Full Time
Job expired!
Company Description
You will be joining a world-class team of engineers and data scientists from globally recognized companies such as Facebook, Uber, Amazon, and Google. We are a rapidly growing consulting firm based in Toronto, offering our services to a varied client base - from leading startups developing impactful technologies, to Fortune 500 companies aiming to enhance their engineering and data capabilities.
Job Description
We are seeking Data Scientists who are passionate about analytics and who utilize data to direct business decisions. You enjoy working with both structured and/or unstructured data and are driven to deliver highly actionable results. You possess experience in designing data ETL workflows and schemas. This role requires critical thinking and problem-solving abilities.
Qualifications
- A Bachelor’s degree (or higher, e.g., Master’s, or PhD) in Computer Science, Engineering, Mathematics, or Statistics
- Practical experience working with user engagement, social, marketing, and/or financial data
- Proficiency in Python (e.g., Pandas, Numpy, Scikit-learn, etc), R, TensorFlow, amongst an array of other data science associated tools and libraries
- Substantial experience in working with relational databases, creating complex data schemas, and writing SQL queries
- Deep understanding of performance tuning of ETL Jobs, SQL, and databases
- Analytical mindset and robust business acumen
- Working knowledge of Snowflake
- Experience in DevOps is advantageous
Additional Information
We offer highly competitive compensation.
Work on exciting projects based on your interests and skills. We believe in accountability and are against micro-management.
