Staff Data Scientist

2 weeks ago


Toronto ON, Canada Hour Consulting Full time

Our client is hiring for a Senior Data Scientist. They are looking for a passionate, and professional Data Scientist with a drive for building solutions for real business problems.

Experience with Implementing Data-Driven Solutions
We are seeking a data scientist with a proven track record of developing and implementing tested solutions to real business problems. Previous experience in crafting and deploying data-driven solutions that have yielded measurable impact on business objectives. Candidates should showcase their ability to collaborate effectively with engineering teams to implement these solutions seamlessly into operational workflows.
Business Problem Solving: Proficiency in identifying and addressing complex business challenges through mathematical, scientific, or machine learning methodologies. Experience in designing and conducting rigorous experiments, including A/B testing, to validate the effectiveness of proposed solutions. Candidates should highlight their ability to ensure the reliability and robustness of their methodologies through thorough testing procedures.
Capability to work closely with engineering teams to integrate data solutions into existing infrastructure. Candidates should demonstrate their capacity to communicate effectively with cross-functional teams and leverage engineering support to drive successful implementation.
If you have a passion for leveraging data science to drive actionable insights and measurable business impact, we encourage you to apply for further consideration and more information.
Partner with internal teams to develop working mathematical, scientific, Client solutions to their problems.

Prove a solution by designing experiments that can be validated offline and/or online (A/B testing, etc.)

Gain deep understanding of our data through either exploratory data analysis or communication with stakeholders

Communicate complex ideas logically and clearly, using data visualization and presentations.

D. in math, science, engineering, statistics, or other quantitative fields

3+ years of professional experience in a data scientist/data analytics role, having solved real business problems with math, science and machine learning

Experience with statistical concepts such as regression, properties of distribution, and statistical tests and their proper usage and application.

Experience with regression and classification Client techniques, such as linear regression and tree-based algorithms including boosting, random forest, and decision trees.

Experience with experiment design and A/B testing

Experience with SQL and Python, along with data, math, machine learning experience

Preferred experience with NoSQL databases such as MongoDB

Preferred experience with dashboard and visualization tools such as Data Studio and or Google Analytics 4

Its a Full Time, Permanent, Remote Role

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