We are looking for Data Scientists who are passionate about analytics and using data to help drive business decisions. You enjoy working with structured and/or unstructured data and are motivated to produce highly actionable results. You are experienced in architecting data ETL workflows and schemas. Critical thinking and problem-solving skills are essential for this role.
Qualifications
- BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
- Hands on experience working with user engagement, social, marketing, and/or finance data
- Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
- Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries
- Deep knowledge on performance tuning of ETL Jobs, SQL, and databases
- Analytical mind and strong business acumen
- Working knowledge of Snowflake
- Devops experiences a plus
Additional Information
We have competitive compensation.
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.
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Data Scientist - Data Analytics and Infrastructure in Toronto employer: Ample Insight Inc
Join a dynamic consulting firm in Toronto that boasts a world-class team of engineers and data scientists from top tech companies like Facebook, Uber, Amazon, and Google. We foster a collaborative work culture that prioritizes continuous learning and pragmatic execution, offering competitive compensation and opportunities for professional growth. If you're passionate about generative AI and eager to make a meaningful impact through innovative machine learning solutions, this is the perfect place for you.
