Staff Data Scientist

HelloFresh

Sydney +1 more

Hybrid

Who this role is best for

A natural match if you have experience leading data science teams and applying machine learning in commercial contexts.

Best fit for

Candidates with team leadership experience and a track record of delivering end-to-end data science projects
— “Demonstrated experience leading or managing data science teams with a track record of developing talent and delivering end-to-end projects.”
Individuals who can translate business problems into technical data science initiatives
— “An influential partner capable of translating ambiguous business problems into clear data science briefs for senior stakeholders.”
Professionals with a hybrid work preference and experience in Python, PySpark, and cloud-based data platforms
— “Strong hands-on background in Python and PySpark, with experience in Databricks or equivalent cloud-based data platforms.”

Things to consider

Requires in-office presence in Chippendale, Sydney, despite hybrid arrangements
— “This role is based in Chippendale, Sydney (hybrid working environment)”
Expectations to balance strategic initiatives with ongoing operational demands
— “Manage and prioritise the team's roadmap, balancing strategic initiatives with BAU demands.”

How to stand out

Highlight your experience in mentoring and developing data science talent
— “Build and develop the data science team by providing technical mentorship, regular coaching, and stretch opportunities.”
Emphasize your ability to deliver high-impact machine learning models and analytical solutions
— “Drive delivery of high-impact projects including ML models, experimentation frameworks, and analytical solutions.”
Showcase your hands-on technical skills in Python, PySpark, and model validation
— “Maintain technical depth by contributing to hands-on work, including reviewing code, validating modelling approaches, and ensuring technical rigour.”
Demonstrate your understanding of A/B testing and model deployment practices
— “Champion best practices in experimentation (A/B testing), model development, and deployment.”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

developed high-performing data science teams
delivered end-to-end projects
championed best practices in experimentation

Typical background

PhD or Master's in Data Science, Statistics, or related field5+ years of experience in data science

Skills & requirements

Required

Data ScienceMachine LearningPythonPysparkDatabricksA/B TestingModel Deployment

Preferred

Deep LearningTeam Management

Stack & domain

PythonPysparkDatabricksXgboostDeep Learning FrameworksA/B TestingMachine Learning Model DevelopmentModel ValidationModel DeploymentLeadershipCommunicationCuriosityTechnical RigourContinuous ImprovementCommercial ImpactRetentionAcquisitionOperational EfficiencyData ScienceMachine LearningAnalytical SolutionsCommercial Outcomes

About the role

Original posting from HelloFresh

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

Source: HelloFresh careers