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HelloFresh

Staff Data Scientist

  • Hybrid
  • 6+ years

Salary

Not stated

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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.

Responsibilities

  • 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.

Requirements

  • 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.
  • 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

Conditions

LI-Hybrid

Where you’d work

Part of the week in the office

You can work from

  • Australia

About the company

HelloFresh

  • Industry: E-commerce

Office in Sydney, Australia

Also hiring in Toronto, Canada, Phoenix, United States, Amsterdam, Netherlands and 5 more places

2 of their 34 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 3 red flags

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13 checks

1 red flag

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6 checks

2 red flags

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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • Spark
  • Databricks
Seniority
Staff
Type
Full-time
Industry
E-commerce
Specialty
Data Science
Region
Australia
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Staff
Experience
6+ years
Tech stack
  • Python
  • Spark
  • Databricks

Location

Work model
Hybrid
Region
Australia
Office
  • Sydney, Australia
Remote from
  • Australia

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
E-commerce

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