Data Scientist - Machine Learning

Ample Insight Inc.

$80K — $120K *
US-AnywhereRemote in Toronto, ON
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS (or higher) in Computer Science or related engineering field
  • Experience with implementing and scaling machine learning models
  • Strong understanding of machine learning theory
  • Hands-on experience with statistics
  • Ability to quickly implement prototypes from research papers
  • Proficient in Python and data science tools (e.g., R, TensorFlow)
  • Analytical mindset with strong business acumen

Responsibilities

  • Solve complex real-world problems using data
  • Work with both structured and unstructured data
  • Develop scalable machine learning models
  • Prototype cutting-edge research for practical use
  • Collaborate within a diverse team of engineers and data scientists
  • Engage with clients from startups to Fortune 500 companies
  • Adapt to evolving project requirements and technologies

Benefits

  • Competitive compensation
  • Opportunity to work on projects aligned with your interests
  • Focus on accountability without micro-management
Full 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 solving real world problems. You enjoy working with both structured and/or unstructured data and are motivated to productize scalable machine learning models. 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.

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