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The Personalized Experience team focuses on providing Waze drivers with a personalized, contextual, and timely routing experience. The team is part of the Waze Data Science group.


Responsibilities
Manage feature engineering, model evaluation and error analysis, data processing and pipelines, model tuning, monitoring and dashboards.
Work with product managers, software developers and QA to define requirements, formulate success metrics, and lead experimentation.
Use data to help products shape the future of Waze and drive innovation, provide insights on user behavior, and help Engineers and QA detect and solve problems.
Work with GCP, Vertex AI, Python, Scikit-learn, TensorFlow, Airflow/Composer, Python, Looker.

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.

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

Unity iAds is looking for a hands-on data infrastructure and platform engineer with proven leadership skills to lead and evolve our self-service data platform that powers petabyte-scale batch and streaming, near-real-time analytics, experimentation, and the feature platform. Youll guide an already excellent team of senior engineers, own reliability and cost efficiency, and be the focal point for pivotal, company-wide data initiatives- feature platform, lakehouse, and streaming.
Own the lakehouse backbone: Mature Iceberg at high scalepartitioning, compaction, retention, metadataand extend our IcebergManager in-house product to automate the lakehouse management in a self serve fashion.

Unify online/offline for features: Drive Flink adoption and patterns that keep features consistent and low-latency for experimentation and production.

Make self-serve real: Build golden paths, templates, and guardrails so product/analytics/DS engineers can move fast safely.

Run multi-tenant compute efficiently: EMR on EKS powered by Karpenter on Spot instances; right-size Trino/Spark/Druid for performance and cost.

Cross-cloud interoperability: BigQuery + BigLake/Iceberg interop where it makes sense (analytics, experimentation, partnership).

What you'll be doing
Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar.
Owning SLOs, on-call, incident response, and postmortems for core data services.
Designing and operating EMR on EKS capacity profiles, autoscaling policies, and multi-tenant isolation.
Tuning Trino (memory/spill, CBO, catalogs), Spark/Structured Streaming jobs, and Druid ingestion/compaction for sub-second analytics.
Extending Flink patterns for the feature platform (state backends, checkpointing, watermarks, backfills).
Driving FinOps work: CUR-based attribution, S3 Inventory-driven retention/compaction, Reservations/Savings Plans strategy, OpenCost visibility.
Partnering with product engineering, analytics, and data science & ML engineers on roadmap, schema evolution, and data product SLAs.
Leveling up observability (Prometheus/VictoriaMetrics/Grafana), data quality checks, and platform self-service tooling.

Aura is looking for an experienced BI Developer with strong analytical and engineering capabilities and a business-oriented mindset to join our team. We seek a candidate who can independently lead end-to-end data processes, understand business challenges, and deliver actionable insights that align with organizational goals. As a key member of our team, youll need the ability to partner with cross-functional teams, communicate effectively with both technical and non-technical stakeholders, and think strategically to address evolving business needs.We are searching for a curious and initiative-taking individual who can delve deep into business problems, perform in-depth analyses on datasets containing millions of records per day, and extract impactful insights to support data-driven decisions. This is a unique opportunity for someone with 4+ years of BI development and analytical experience to play an essential role in scaling operations within a rapidly growing, dynamic environment.
If youre passionate about turning data into actionable strategies and thrive on solving complex business problems, Aura is the place for you to grow and make a difference.

What you'll be doing
Analyze complex datasets and extract meaningful insights. Identify trends, patterns, and correlations within the data to inform strategic decision-making.
Design, manage and maintain analytics products and BI solutions for the entire group.
Create clear and visually compelling reports and dashboards to present analytical findings to key stakeholders. Collaborate with cross-functional teams to develop customized reporting solutions that address specific business needs.
Work closely with multiple teams (R&D, Product, Monetization and more) to understand business objectives and provide analytical support for strategic initiatives. Translate business requirements into actionable analytical tasks and deliverables. Proactively identify opportunities for process improvement and optimization based on data-driven insights.