Creative Chaos
via Workable
Data Scientist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 9h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 202d ago
The date the source published, not the day we noticed it (2026-02-25). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Pakistan
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$1,675–2,250/mo
Middle 50% of 19 listings that do state pay — Operations · all levels · APAC · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 11d ago · last seen just now
The listing
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 in Computer Science, Statistics, Mathematics, or a related field.
- 2-3 years of industry experience as a data scientist.
- Strong knowledge and experience in PowerBI, 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.