Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.
About the role
- Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
Responsibilities
- Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery
- Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround
- Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations
- Define and evaluate key metrics in various product areas
- Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications
- Develop Standard Operating Procedures for human-driven evaluations or labeling
- Deliver data insights and provide data-driven recommendations to cross-team stakeholders
- Design and analyze A/B tests for machine learning algorithm iterations
- Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment
- Mentor team members and support their technical growth
Requirements
- Bachelor's in computer science, statistics or equivalent experience
- At least 7 years of relevant industry experience in data science at leading internet or creative technology companies
- Experience in the advertising domain is a strong bonus
- Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models
- Strong interest to learn about generative mixed media, generative video, and diffusion-based technology
- Solid knowledge of data science and statistics
- Strong communication skills and business acumen
- Proficient in SQL, Python, Java, or R
- Familiar with Tableau, and/or other visualization tools
- Experience designing and building machine learning models
- Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness
- Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement
- Experienced building data-driven services and applications for production
- A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- Full range of medical, financial, and/or other benefits, dependent on the level and position offered
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