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Were looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.

What Youll Do:
Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
Develop and deploy statistical and machine learning models to production
Create scalable data pipelines and APIs that serve real-time analytics
Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
Own features end to end from statistical design and validation through deployment, monitoring, and iteration.

We're looking for a Data Engineer with 4+ year experience to join our Data Engineering team and help us build and scale our production-grade data platform. You'll work on high-performance systems built on self-hosted ClickHouse, optimize complex data pipelines, and collaborate closely with Product, Analytics, and Infrastructure teams to deliver reliable, fast, and scalable data solutions.

This is a hands-on technical role where you'll have a significant impact on how we ingest, model, store, and serve data that powers our analytics and AI-driven products.
Youll play a key role in shaping the direction of our data platform and have meaningful ownership over critical components of our architecture.

What You'll Do:
Data Modeling & Architecture
Design and evolve data models that reflect business logic and support analytical use cases
Collaborate with the BI and Analytics teams to understand data requirements and translate them into efficient schemas
Performance Optimization
Optimize ClickHouse schemas, partitioning strategies, indexing, and compression
Profile and tune slow queries to improve performance and reduce costs
Implement systems that ensure data quality, consistency, and operational efficiency (e.g., deduplication, validation, anomaly detection)
Monitor pipeline health, data freshness, and query performance with appropriate alerting mechanisms
SQL Compiler Development
Develop and maintain the SQL Compiler layer that translates high-level queries into optimized ClickHouse execution plansImplement query optimization and rewriting strategies to improve performanceDebug and resolve compiler issues to ensure accurate and efficient query translation

Data Pipeline Development & Collaboration
Review and advise the Integration team on pipeline architecture, performance, and best practices.
Provide guidance on data modeling, schema design, and optimization for new data sources.
Troubleshoot and maintain existing pipelines when issues arise or optimization is needed
Ensure data freshness, reliability, and quality across all ingestion pipelines.
Collaboration & Support
Work closely with the Integration team to ensure smooth data ingestion from new sources.
Partner with Infrastructure to support high availability and disaster recovery
Support other teams across the company in accessing and using data effectively.

Your experience building well-architected, high-performance frontend components will directly impact how quickly teams can ship, how consistent our products feel, and how confidently we can continue to innovate at scale.

What Youll Do:
Build and maintain shared frontend foundations used across products, with a strong focus on scalability, performance, and long-term maintainability.
Build, document, and maintain a shared UI components library used across products.
Develop high-performance data visualization components and reusable interface patterns.
Collaborate with design and product teams to transform Figma designs into functional React components.
Take ownership of projects and collaborate effectively across teams to deliver production-grade UI solutions.
Participate in the modernization and technical health of the frontend by refactoring, improving architecture and state management, enforcing code quality standards, and continuously optimizing rendering, bundling, and build workflows
Leverage AI tooling to assist with frontend development workflows, including code generation and refactoring, performance analysis and design-to-code alignment, while applying strong engineering judgment to review and productionize results.

our data & AI Division is looking for a talented Qlik Developer to join our growing team. This role combines Qlik development, SQL, ETL, and data analysis, with a strong emphasis on business understanding and delivering actionable insights that support strategic decision-making. Responsibilities:
* Develop and maintain Qlik Sense / Qlik Cloud dashboards, reports, and data models.
* Design and implement ETL processes to extract, transform, and prepare data for analysis.
* Build automated reports and monitoring solutions to support business operations.
* Perform business analysis by understanding organizational needs and translating business requirements into data solutions.
* Analyze and model business processes to provide insights across domains such as Sales, Inventory, and Finance.
* Collaborate with business stakeholders and technical teams to deliver data -driven solutions.

This role is a great fit for someone who thrives in an environment that values speed without compromising on quality, and who enjoys taking full ownership of their work end to end. If you are curious by nature, demonstrate strong entrepreneurial thinking, are not afraid to ask questions, and know how to navigate ambiguity while moving quickly, you will do well .