Responsibilities
- Lead key data science projects within the demand-side platform
- Initiate and shape new project concepts from ideation through execution
- Develop solution frameworks and refine them using performance data
- Mentor team members while overseeing deployment and ongoing system performance
- Build, validate, and test experimental product features
- Work with teams to analyze datasets, build models, and resolve technical challenges
- Act as a liaison with internal teams such as Product, Engineering, Data, Infrastructure, and Business units
- Pinpoint opportunities where artificial intelligence can drive significant business value
- Ensure modeling efforts align with business goals and user requirements
- Link model outputs to tangible and quantifiable business results
- Partner with multidisciplinary teams including engineering, product, business, campaign management, and creative teams
- Test various machine learning algorithms and improve approaches based on performance analysis
- Create adaptive models suited to specific use cases and changing conditions
- Support knowledge sharing by publishing articles, insights, and real-world examples on the company blog
- Present research and platform advancements at public industry events
Work Arrangement
Remote (Worldwide) — San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru
