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SuperSonic is looking for a passionate Senior Data Scientist to develop and deploy sophisticated user-level models and real-time online learning systems. In this role, you'll work end-to-end on building personalized predictive models that adapt as user behavior evolves, enabling dynamic decision-making. Your work will directly impact user experience, drive revenue growth, and enhance data-driven decision making across the organization by transforming how we understand and respond to individual user patterns in real time. You will be handed with a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and research, develop & deploy your solution along with relevant support.
What you'll be doing
Design and implement end-to-end solutions from business needs all the way to live deployment
Monitor and own models in production
Model, design, and implement machine learning and data mining algorithms that will impact millions of users.
Perform deep data analysis to evaluate performance and recommend improvements
Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions

Join a high-impact team of applied researchers and engineers where you'll dive deep into the full ML lifecyclefrom comprehensive data exploration to model evaluation and performance analysis. This role offers unique exposure to cutting edge machine learning applications while building your expertise in both analytical depth and ML systems.
What you'll be doing
Conduct comprehensive exploratory data analysis and deep-dive investigations across our full data ecosystem to uncover insights that drive ML and product strategy
Analyze ML model results, performance metrics, and conduct sophisticated model evaluations that inform algorithmic improvements
Design, implement, and analyze A/B tests while serving as a key contributor to our model evaluation and experimentation processes
Build analytical pipelines and automated systems that scale our ability to measure ML effectiveness and business impact
Create advanced dashboards and reporting systems that translate complex model performance into actionable business insights

Our Data Science team leads data-motivated decisions across Waze's core functional areas, including the Waze Map and Map Editor, Advanced Guidance and Voices, Growth and Strategy, User Communications and more. The team members are embedded within the Waze development Squads. We define data requirements and analytics strategies, execute experiments, deliver in-depth analyses and provide actionable recommendations. The teams contribution is crucial for the effective development and safe landing of the new Waze features and help guiding the overall product strategy.

We are responsible for the research and development of advanced experimentation and Causal Analysis infrastructures to measure, understand and attribute features impact. We also own a comprehensive Data Warehouse, providing essential dashboards and analytics tools, including Gen-AI agents, to empower both Data Scientists and stakeholders throughout the organization.

Responsibilities
Develop and implement Measurement Methodologies and Evaluation Frameworks. Assess the performance, accuracy and groundedness of AI Agents, including the automated generation of synthetic training and evaluation data.
Work with various teams including software developers, data engineers and product managers, to define the requirements and implement Gen-AI models and solutions to drive innovation.
Translate technical concepts and investigative findings into clear, actionable insights for both technical and non-technical stakeholders.
Lead the design, development and deployment of Generative AI Agents for conversational driving-related experiences and scaling the ingestion, annotation and utilization of user generated contect and geospatial data feeds.