Data Scientist at 4impact Pty Ltd

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 26

Salary

70000.0

Posted On

25 Sep, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Industry

Information Technology & Services

Description

What We're Looking For

Strong Computer Science, Software development background, with the ability to build and deploy production-ready solutions, not just develop
Deep expertise in neural networks, particularly their application to time series forecasting and prediction in industrial or real-world environments.
Strong mathematical optimisation skills. This is a core requirement, with several optimisation-focused projects to support
Strong software development and programming skills, with a practical, engineering-focused approach to problem-solving
Experience with Databricks and/or Snowflake is preferred
Hands-on and delivery-focused, with a preference for staying close to the technical work. We're looking for someone who wants to build solutions, not a Lead or Principal

You'll Be a Great Fit If

You can build and deploy production-ready solutions, not just develop models
You have deep expertise in neural networks, particularly for time series problems in real-world environments
You're strong in mathematical optimisation and enjoy solving complex operational challenges
You're hands-on and technical, with a preference for delivering solutions rather than leading teams

Employer questions

Your application will include the following questions:

Which of the following statements best describes your right to work in Australia?
How many years' experience do you have as a data scientist?
Do you have hands-on experience working with Databricks and/or Snowflake in a production environment?
Tell us about a machine learning solution you've taken from development to production. What was the problem, your approach, and your role in deploying it?
Describe a project where you applied neural networks and/or mathematical optimisation to solve a real-world business problem. What techniques did you use and what was the outcome?

How To Apply:

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Responsibilities

What We're Looking For

Strong Computer Science, Software development background, with the ability to build and deploy production-ready solutions, not just develop
Deep expertise in neural networks, particularly their application to time series forecasting and prediction in industrial or real-world environments.
Strong mathematical optimisation skills. This is a core requirement, with several optimisation-focused projects to support
Strong software development and programming skills, with a practical, engineering-focused approach to problem-solving
Experience with Databricks and/or Snowflake is preferred
Hands-on and delivery-focused, with a preference for staying close to the technical work. We're looking for someone who wants to build solutions, not a Lead or Principal

You'll Be a Great Fit If

You can build and deploy production-ready solutions, not just develop models
You have deep expertise in neural networks, particularly for time series problems in real-world environments
You're strong in mathematical optimisation and enjoy solving complex operational challenges
You're hands-on and technical, with a preference for delivering solutions rather than leading teams

Your application will include the following questions:

Which of the following statements best describes your right to work in Australia?
How many years' experience do you have as a data scientist?
Do you have hands-on experience working with Databricks and/or Snowflake in a production environment?
Tell us about a machine learning solution you've taken from development to production. What was the problem, your approach, and your role in deploying it?
Describe a project where you applied neural networks and/or mathematical optimisation to solve a real-world business problem. What techniques did you use and what was the outcome?