Senior Data Scientist

Reo Group; City of Parramatta; Hybrid; AUD 140,000 - 170,000; Full time

Benefits offered by this job

Hybrid work

Cutting-edge tools

High-profile role

Job summary

A leading FMCG company in Parramatta is seeking a Senior Data Scientist to lead data science initiatives and mentor junior teammates. The role involves designing scalable data pipelines, applying machine learning techniques, and advocating for MLOps practices. Ideal candidates will have proficiency in Python and SQL, with a salary range of A$140k - A$170k plus superannuation in an attractive hybrid work environment.

Qualifications

• Deep expertise across the full data science lifecycle from ideation to monitoring in production.
• Strong proficiency in Python, SQL, Spark, and Azure tools.
• Experience with A/B testing frameworks and modern ML toolsets.

Responsibilities

• Lead end-to-end data science and machine learning initiatives.
• Mentor junior and mid-level data scientists.
• Design and maintain robust data pipelines and architectures.
• Champion MLOps practices, including model versioning and performance monitoring.
• Communicate insights effectively through clear visualisations.

Skills

Python

SQL

Spark

Azure Databricks

Azure cloud services

MLOps

Job description

Senior Data Scientist

Reo Group – Parramatta, New South Wales, Australia

Role Overview

As a Senior Data Scientist reporting to the Head of Data Science, you will uplift the organisation's data science capability by embedding within the business, building strong relationships, and translating complex challenges into practical, data-driven solutions. You'll lead end-to-end machine learning initiatives, from discovery to deployment, and ensure the adoption of scalable models that drive meaningful impact across the organisation.

You will design and maintain scalable data pipelines and architectures to ensure reliable access for analytics and ML use cases. You will proactively engage with stakeholders to identify opportunities, define problems, and ensure solutions are implemented and adopted effectively.

Responsibilities

• Lead end-to-end data science and machine learning initiatives from ideation through to deployment and monitoring
• Mentor junior and mid-level data scientists, promoting best practices in modelling, ML engineering, and business alignment
• Design and maintain robust data pipelines and architectures to support scalable analytics and ML workflows
• Apply techniques such as A/B testing, causal inference, and optimisation to drive data-informed decisions
• Champion MLOps practices, including model versioning, automated retraining, and performance monitoring
• Explore and prototype innovative approaches in areas like computer vision, optimisation, and generative AI
• Communicate insights effectively through clear visualisations, presentations, and tailored documentation

Candidate Profile

Passionate about solving real-world problems, you bring together statistical depth, machine learning, and data-driven experimentation to deliver meaningful business outcomes. The ideal candidate is a curious, business-focused data scientist who proactively uncovers opportunities to drive operational efficiency, revenue growth, and continuous process improvement. You will influence and engage stakeholders effectively, clearly articulating the impact of data science on business performance. As a senior contributor, you will champion a culture of data-driven decision-making and uplift data science capability across the organisation. You are a Senior Data Scientist with deep expertise across the full data science lifecycle from ideation and modelling to deployment and monitoring in production. Comfortable exploring complex data sets and communicating insights in business terms, you bring strong proficiency in Python, SQL, Spark, Azure Databricks, and Azure cloud services, along with working knowledge of A/B testing frameworks and modern ML toolsets. You're also a strong advocate for MLOps, building scalable, maintainable ML solutions that last.

Company, Culture & Benefits

• Growing, global FMCG business with a well-known brand in the Australian marketplace offers a high-profile, high-impact opportunity for the right person.
• International FMCG brand
• $140k - $170k + Super
• Attractive offer; hybrid work; cutting-edge tools; high-profile role while driving important outcomes

Base pay range

A$140,000.00/yr - A$170,000.00/yr

Apply

If this sounds like you, please apply using the link below. The reference number for this role is PGSDS61075.

Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Business Intelligence Platforms, Data Infrastructure and Analytics, Information Services