Data Scientist - Machine Learning

Ample Insight Inc; Toronto; Hybrid; CAD 90,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation

Autonomy

Job summary

Ample Insight Inc in Toronto is seeking a data scientist who thrives on solving real-world problems using both structured and unstructured data, and who can turn cutting-edge research into scalable ML solutions.

You will work with a world-class team of engineers and data scientists to prototype and productionize models, leveraging Python, R, and TensorFlow on diverse client projects in a fast-growing consulting firm setting.

Qualifications

• BS or higher in CS or related field with coding.
• Experience implementing and scaling ML models in production.
• Strong ML theory understanding.
• Hands-on statistics experience.
• Ability to prototype cutting-edge research quickly.
• Proficient in Python (Pandas, Numpy, scikit-learn) and R/TensorFlow.

Skills

Python

ML in production

Statistics

Prototyping

Pandas

Numpy

Scikit-learn

R

TensorFlow

Analytical thinking

Education

BS or higher in CS

Tools

TensorFlow

scikit-learn

Pandas

Numpy

Job 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 technologiesto Fortune 500companies 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

Additional Information

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