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Full time
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Senior Data Scientist

StoryfulSydney, New South Wales🇦🇺AustraliaPosted 23 Jul 2026

Why This Role Stands Out

This Senior Data Scientist role at Storyful offers an exciting opportunity to build and deploy cutting-edge AI and LLM-driven models, directly impacting client products and platform monetization. You'll thrive here if you possess deep expertise in advanced algorithms and Python, enjoy collaborating with cross-functional teams, and are eager to translate complex data insights into actionable strategies.

Quick Overview

Work Type
On Site
Schedule
Full Time
Level
Mid Senior

Job Description

What's the role? Opportunity for a Senior Data Scientist to join our Client Product team in Sydney.

Key Responsibilities
  • End-to-End Model Development: Design, build, and deploy production ML models for audience, forecasting, optimization, and uplift.
  • Applied AI & LLM Initiatives: Leverage LLMs and embedding models for clustering, segment refinement, and search/chat frameworks.
  • Production Engineering: Deploy low-latency models via APIs using Docker, GitHub CI/CD, and AWS/Vertex AI stacks.
  • Strategy & Governance: Design cookieless targeting and clean room strategies while ensuring strict AI privacy governance.
  • Data Science Translation: Translate complex algorithmic and statistical concepts into clear insights for non-technical stakeholders.
  • Strategic Partnerships: Align data science, product, and sales teams to match model delivery with platform roadmaps.
  • Audience Alignment: Collaborate to establish a unified cross-platform taxonomy and consolidate segments into an identity graph.
  • Yield Optimization: Identify monetization opportunities and optimize ad products to boost platform yield and CPMs.
  • ROI & Measurement: Link model performance to commercial outcomes via post-campaign analyses to drive client retention.
Qualifications & Skills
  • PhD or Master's in a quantitative discipline (e.g., Statistics, Mathematics, Data/Computational Science).
  • Deep expertise in deploying advanced algorithms, deep learning, neural embeddings, and classification systems.
  • Proven experience implementing LLMs for automated categorization and semantic search discoverability.
  • Strong programming background with primary expertise in the Python ecosystem.
  • Hands on experience architecting scalable model orchestration on Google Vertex AI and AWS, using Docker and GitHub CI/CD.
  • Collaborative approach to building robust feature stores and exploratory data analysis (EDA) for live production.
  • Track record of translating complex data problems into operational ML tools that deliver measurable business value.
  • Solid understanding of digital media revenue metrics (CPM growth) and cookieless audience targeting frameworks.
  • Exceptional ability to simplify sophisticated statistical concepts for executive and non-technical stakeholders.
  • Ability to navigate ambiguity, collaborate cross functionally, and innovate within a fast paced digital media landscape.
Benefits
  • Access to publications and products from across the News Corp family.
  • Exclusive offers across a range of products and services that deliver genuine cost savings and benefits.
  • Health & wellbeing support, including advice, support, facilities for healthy minds and bodies, and an onsite gym at Adelaide, Brisbane & Sydney offices.
  • Personalised leave options-Parental leave, Birthday leave, Volunteer leave, Career break, and Compassionate leave.
  • Financial wellbeing support for making the most of your money.
  • Development opportunities, including leadership programs, to cultivate skills and support career growth.
  • Volunteer opportunities and company organised charity drives.
  • Access to employee resource groups, multi faith quiet rooms & parent's rooms, and other inclusion initiatives.

Our Commitment to Diversity, Equity and Inclusion: We are committed to equal employment opportunities regardless of race, religion, sexual orientation, age, disability or gender identity. Applicants of diverse backgrounds are encouraged to apply, and we are committed to ensuring an accessible and supportive recruitment process.

Skills

Docker
AWS
Deep Learning
LLM
Python

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