Lead Data Scientist - Hybrid, Growth & Learning

HelloFresh; Sydney Township (ND); Híbrido; USD 104.000 - 146.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working arrangements

Headspace access

HelloFresh Academies - learning & dev

Company discount

Descripción de la vacante

HelloFresh in Sydney operates with a hybrid model and is seeking a Staff Data Scientist to lead and build a high-performing data science team. You will translate business problems into scalable ML solutions across HelloFresh brands, while maintaining technical depth and driving measurable commercial outcomes.

You will mentor teammates, partner with senior stakeholders, and shape the data science roadmap, balancing strategic initiatives with BAU work in a collaborative, international environment.

Formación

• Demonstrated experience leading data science teams and delivering end-to-end projects.
• Hands-on Python and PySpark with cloud platforms (Databricks) experience.
• Experience with traditional data science tools such as XGBoost and DL frameworks.
• Strong knowledge of A/B testing, model development, validation and deployment.

Responsabilidades

• Build and lead the data science team with mentorship and coaching.
• Partner with senior stakeholders across commercial, product, and operations.
• Drive delivery of ML models, experimentation frameworks, and analytical solutions.
• Review code and ensure modelling rigour; champion best practices.
• Manage the team roadmap and recruit data science talent.

Conocimientos

Leadership

Python

PySpark

Databricks

XGBoost

Deep learning

A/B testing

Mentoring

Stakeholder mgmt

Cloud platforms

Herramientas

Databricks

Descripción del empleo

HelloFresh in Sydney operates with a hybrid model and is seeking a Staff Data Scientist to lead and build a high-performing data science team. You will translate business problems into scalable ML solutions across HelloFresh brands, while maintaining technical depth and driving measurable commercial outcomes.

You will mentor teammates, partner with senior stakeholders, and shape the data science roadmap, balancing strategic initiatives with BAU work in a collaborative, international environment.