Principal Data Scientist
4 weeks ago
The Opportunity
At Unity, our mission is to empower creators to build immersive experiences. As a key member of our Ads Applied Research team, you will play a crucial role in driving the overall Ads strategy for Unity's products and services.
What You'll Be Doing
As a machine learning expert, you will guide and drive the application of machine learning solutions across the whole organization. Your responsibilities will include:
- Defining and executing advanced machine learning models and algorithms to help translate complex business problems into actionable insights.
- Staying at the forefront of the latest machine learning research to improve Unity's Ad platform Machine Learning capabilities.
- Optimizing, improving, and innovating ML practices to establish Unity as an industry leader.
- Forming and validating hypotheses on new aspects of modeling and potency of new datasets for ML.
- Driving optimization hypotheses by analyzing the drivers for impactful machine learning and arguing the hypotheses and success for the next steps of development.
- Making requirements and communicating data and machine learning capability needs to the product and engineering teams as the authority in Data for ML.
- Driving the overall direction of the machine learning future for Ads to support strategic goals and vision.
What We're Looking For
We are seeking a candidate with experience in guiding machine learning development via revolutionary steps to keep Unity Ads at the forefront of ML performance. The ideal candidate will have:
- A PhD in Computer Science, Mathematics, Statistics, or a related technical field or equivalent experience in interpreting and translating research to applications.
- Experience successfully taking research and turning it into concrete product innovations with impact.
- Expertise with modeling frameworks (Tensorflow, PyTroch) and understanding of model architectures and mechanisms.
- Ability to explain machine learning and interpret the modeling efficacy for further improvements.
- Capability of conducting analysis, statistics, and data literacy to deduct where the challenges and opportunities lie.
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