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Posted 6mo ago

Data Scientist

@ Ample Insight
Toronto, Ontario, Canada
RemoteFull Time
Responsibilities:Develop models, Productize models, Derive insights
Requirements Summary:BS in CS or related field; experience deploying ML models; strong ML theory; statistics; prototyping research; proficient in Python, R, TensorFlow; analytical and business-minded.
Technical Tools Mentioned:Python, R, TensorFlow, Pandas, NumPy, scikit-learn
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Job Description
Company Description:

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. 

Job Description:

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.

Qualifications:
  • 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

If you're passionate about data science and is hungry to learn, please apply!

 

Additional Information:

We have competitive compensation.

Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.