Data Scientist

Ample Insight; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

Ample Insight, a rapidly growing consulting firm in Toronto, seeks passionate Data Scientists with expertise in Machine Learning. Join a team of experts and work on impactful projects to drive business insights using cutting-edge technologies. Ideal candidates possess strong analytical minds and experience implementing machine learning in production.

Benefits

Competitive compensation

Work on projects aligned with your interests and skills

Emphasis on accountability over micromanagement

Qualifications

• Experienced in implementing and scaling machine learning models in production.
• Strong understanding of machine learning theory.
• Hands-on experience with statistics required.

Responsibilities

• Engaged in data science projects with structured/unstructured data.
• Productize scalable machine learning models.
• Build data products to extract business insights.

Skills

Machine Learning

Statistics

Python

Critical Thinking

Problem Solving

Education

BS in Computer Science or related engineering field

MS or PhD (preferred)

Tools

Pandas

Numpy

scikit-learn

TensorFlow

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.