HelloFreshStaff Data Scientist
HelloFresh is hiring a Staff Data Scientist in Sydney, Australia. Level rates it ; you can apply on Level.
AI in this role
Job Description
As the Staff Data Scientist, you will lead and develop a high-performing data science team, translating complex business challenges into scalable analytical and machine learning solutions that drive measurable commercial outcomes across HelloFresh's brands.
This role is based in Chippendale, Sydney (hybrid working environment) and reporting to the Director Data ANZ.
You will…
- Build and develop the data science team by providing technical mentorship, regular coaching, and stretch opportunities.
- Partner with senior stakeholders across commercial, product, and operations to shape the data science roadmap and communicate progress and outcomes clearly.
- Drive delivery of high-impact projects including ML models, experimentation frameworks, and analytical solutions.
- Maintain technical depth by contributing to hands-on work, including reviewing code, validating modelling approaches, and ensuring technical rigour.
- Champion best practices in experimentation (A/B testing), model development, and deployment.
- Manage and prioritise the team's roadmap, balancing strategic initiatives with BAU demands.
- Recruit and retain data science talent, contributing to a collaborative culture.
You have…
- Demonstrated experience leading or managing data science teams with a track record of developing talent and delivering end-to-end projects.
- Strong hands-on background in Python and PySpark, with experience in Databricks or equivalent cloud-based data platforms.
- Experience with traditional data science tools and techniques, such as XGBoost and deep learning frameworks.
- Deep knowledge of A/B testing methodology and machine learning model development, validation, and production deployment.
- Prior experience as a practicing data scientist capable of engaging credibly at a technical level.
You are…
- An influential partner capable of translating ambiguous business problems into clear data science briefs for senior stakeholders.
- A mentor who values curiosity, technical rigour, and continuous improvement within a team.
- Driven by commercial impact, retention, acquisition, and operational efficiency.
- Familiar with deep learning frameworks and their practical business application (desirable).
What you’ll get in return…
- The chance to have a significant impact in a leading global food technology company
- Flexible working arrangements
- Egoless environment, constant learning with room for personal growth
- Free access to Headspace
- HelloFresh Academies - internal learning & development
- A diverse and vibrant international environment, with offices in 18 countries
- Company discount - 70% off HelloFresh & 40% off Youfoodz
Start Date: Immediately available - Can wait a notice period
Duration: Permanent full time role
Location: Chippendale Head Office - hybrid working environment
Salary: Competitive salary & employee benefits
#LI-Hybrid
How we rate this
Staff Data Scientist at HelloFresh rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $170k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- What's a project where you used XGBoost hands-on?
- Walk me through how you've used Databricks in your day-to-day work.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: XGBoost and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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