Data Scientist

Ample Insight Inc.

• $80K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS or higher in Computer Science or related engineering field
  • Experience implementing and scaling machine learning models
  • Strong understanding of machine learning theory
  • Hands-on experience with Statistics
  • Ability to prototype cutting-edge research
  • Proficient in Python, R, TensorFlow, etc.
  • Analytical mindset with strong business acumen

Responsibilities

  • Engage in data science projects with structured and unstructured data
  • Develop scalable machine learning models
  • Create data products that drive business insights
  • Prototype implementations based on recent research
  • Collaborate with a world-class team of engineers and data scientists

Benefits

  • Work on projects aligned with your interests and skills
  • Flexible work culture focused on accountability
  • Opportunity to engage with a diverse range of clients from startups to Fortune 500 companies
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 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.

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