Job Description

Overview

n

Opportunity for a Senior Data Scientist to join our Client Product team in Sydney.

n

Key Responsibilities

n

n
- End-to-End Model Development: Design, build, and deploy production ML models (audience, forecasting, optimization, uplift).
n
- Applied AI & LLM Initiatives: Leverage LLMs and embedding models for clustering, segment refinement, and search/chat frameworks.
n
- Production Engineering: Deploy low-latency models via APIs using Docker, GitHub CI/CD, and AWS/Vertex AI stacks.
n
- Strategy & Governance: Design cookieless targeting and clean room strategies while ensuring strict AI privacy governance.
n
- Data Science Translation: Translate complex algorithmic and statistical concepts into clear insights for non-technical stakeholders.
n
- Strategic Partnerships: Align data science, product, and sales teams to match model delivery with platform roadmaps.
n
- Audience Alignment: Collaborate to establish a unified cross-platform taxonomy and consolidate segments into an identity graph.
n
- Yield Optimization: Identify monetization opportunities and optimize ad products to boost platform yield and CPMs.
n
- ROI & Measurement: Link model performance to commercial outcomes via post-campaign analyses to drive client retention.
n

n

Who are you?

n

n
- PhD or Master's in a quantitative discipline (e.g., Statistics, Mathematics, Data/Computational Science).
n
- Deep expertise in deploying advanced algorithms, deep learning, neural embeddings, and classification systems.
n
- Proven experience implementing LLMs for automated categorization and semantic search discoverability.
n
- Strong programming background with primary expertise in the Python ecosystem.
n
- Hands‐on experience architecting scalable model orchestration on Google Vertex AI and AWS, using Docker and GitHub CI/CD.
n




- Collaborative approach to building robust feature stores and exploratory data analysis (EDA) for live production.
n
- Track record of translating complex data problems into operational ML tools that deliver measurable business value.
n
- Solid understanding of digital media revenue metrics (CPM growth) and cookieless audience targeting frameworks.
n
- Exceptional ability to simplify sophisticated statistical concepts for executive and non‐technical stakeholders.
n
- Ability to navigate ambiguity, collaborate cross‐functionally, and innovate within a fast‐paced digital media landscape.
n

n

Benefits

n

n
- Access to publications and products from across the News Corp family.
n
- Exclusive offers across a range of products and services that deliver genuine cost savings and advantages.
n
- Health & wellbeing support and facilities for healthy minds and bodies (including onsite gym at Adelaide, Brisbane & Sydney offices).
n
- Time off: Parental leave, birthday leave, volunteer leave, career break and compassionate leave.
n
- Financial wellbeing support on making the most of your money.
n
- Opportunities for tailored development, including leadership programs, to cultivate your skills and support your career.
n
- Volunteer opportunities and company‐organised charity drives to give back to communities.
n
- Workplace inclusion programs and facilities – access to employee‐resource groups, quiet rooms and parents' rooms.
n

n

Diversity, Equity and Inclusion

n

We are committed to ensuring an accessible and supportive recruitment process. Diversity strengthens our teams and newsroom; we encourage applicants of all backgrounds to apply. Our commitment to equal employment opportunities extends across race, religion, sexual orientation, age, disability or gender identity.

n

Application

n

Apply now or visit www.newscorpaustralia.com/careers for more information about careers at News Corp Australia.

#J-18808-Ljbffr

📌 Senior Data Scientist (New South Wales)
🏢 News Corp Australia
📍 New South Wales