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Data Scientist

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

BS (or higher) in CS or related field, Experienced in implementing ML models in production, Strong understanding of machine learning theory, Hands-on experience with Statistics, Proficient in Python, R, TensorFlow, etc.

Key responsabilities:

  • Passionate about Machine Learning and Statistics
  • Productize scalable ML models
  • Build data products for business insights
Ample Insight logo
Ample Insight Startup https://www.ampleinsight.com/
11 - 50 Employees
See more Ample Insight offers

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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

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