Posting record
Open 11+ days
- Creativechaos' site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Creativechaos, so its true age is longer.
Last checked Nov 4, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 5+ years of experience
- Master's degree asked for
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Job Brief
We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing large datasets to uncover trends and insights, building predictive models, and contributing to data-driven decision-making processes.
Duties and Responsibilities
- Lead the development and execution of data science projects, including problem formulation, data collection, analysis, modeling, and deployment of machine learning models.
- Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
- Develop and implement machine learning algorithms and statistical models to solve complex business problems.
- Perform exploratory data analysis to gain insights and identify patterns in large and complex datasets.
- Work with data engineers to build robust and scalable data pipelines.
- Evaluate and validate models using appropriate performance metrics and statistical techniques.
- Present findings and insights to stakeholders in a clear and concise manner.
- Stay up-to-date with the latest advancements and best practices in data science and machine learning.
- Mentor and guide more junior data scientists in the team.
Requirements
- Bachelors/ Master's in Computer Science, Statistics, Mathematics, or a related field.
- Minimum of 5 years of industry experience as a data scientist.
- Strong knowledge and experience in machine learning, statistical modeling, and data mining.
- Proficiency in Python or R for data analysis and modeling.
- Experience with big data technologies such as Hadoop, Spark, or SQL.
- Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
- Strong problem-solving and critical-thinking skills.
- Excellent communication and presentation skills.
- Ability to work effectively in cross-functional teams.
- Strong attention to detail and ability to work on multiple projects simultaneously.
Something wrong with this posting?