Data Scientist
At a glance
Mid-level Data Science role at Ample Insight Inc. Remote, Canada · full-time · no salary stated · we estimate CA$95,675–CA$120,413.
Ample Insight Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and scale machine learning models for production use
- Work with structured or unstructured data to develop data science projects
- Turn machine learning models into scalable products and create tools that surface business insights
- Quickly prototype ideas from recent research papers
What you bring
- A bachelor's degree or higher in computer science or a coding-focused engineering field
- Experience putting machine learning models into production and scaling them
- Strong grounding in machine learning theory and practical statistics
- Proficiency with Python, R and TensorFlow, plus related data science tools
Who this fits
This mid-level role suits someone who enjoys applied machine learning, can connect analysis to business needs and is keen to keep learning. The role is based in Toronto and remote.
From the employer
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.
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.
- 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!
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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