November 10
• You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. • We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities. • We are looking for Data Scientists who are passionate about Machine Learning, and have deep knowledge in Statistics and Computer Science. • You enjoy doing data science projects with structured and/or unstructured data and are motivated to productize scalable machine learning models. • We will also rely on you to build data products to extract valuable business insights. • Critical thinking and problem-solving skills are essential for this role.
• BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding • Experienced implementing and scaling machine learning models in production environments • Strong understanding of machine learning theory • Hands on experience with Statistics • Capable of quickly implementing prototypes of cutting-edge research papers • Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries • Analytical mind and strong business acumen
• Competitive compensation • Work on cool projects based on your interests and skills. • We believe in accountability and NOT micro-management.
Apply NowNovember 8
501 - 1000
Analyze survey research results to support consumer insights and industry benchmarks.
November 8
201 - 500
Drive data science initiatives at Versapay to enhance invoice-to-cash processes.
🇨🇦 Canada – Remote
💵 $125k - $145k / year
💰 $4M Post-IPO Debt on 2019-11
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
November 5
51 - 200
Fullstack Software Engineer at Collective[i] supporting Data Science applications.