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Were seeking a strategic and collaborative Data Science Group Leader to lead a combined group of data scientists and developers, which is focused on researching, building, and delivering beta and experimental capabilities that explore whats next in analytics, machine learning, and Generative AI. In this role, you will ensure alignment with our organization's vision and product direction.
As a manager, you will cultivate a culture of innovation and accountability, fostering a team that serves as both a creative proving ground for ideas and a reliable pipeline for transitioning validated capabilities into our core products.
You will lead two disciplines through team leaders and senior contributors:
Data Scientists, focused on advanced analytics, ML, and GenAI
Full-Stack Software Engineers responsible for rapidly turning ideas and models into usable, customer-facing lab applications
This role sits at the intersection of AI leadership, hands-on technical guidance, and product innovation, and is designed for a leader who can bridge research and engineering disciplines rather than replace strong specialists.

We're seeking a talented, versatile, and experienced Data Engineer to join our Analytics engineering team. The team's primary goal is to develop an analytics product that enables clinics to assess the effectiveness of their treatments, gain valuable insights into their workflows, and enhance their performance.
You will be responsible for the teams data platform and ETL processes, significantly influencing both product and technical decisions.
Responsibilities
Transforming, modeling, and serving our data in our Analytics product.
Utilize data best practices to improve the product and allow data-driven decision-making.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.

We're currently seeking a Senior Data Researcher to join our Data Team and help proactively guide our business growth through the provision of strategic perspective, market insight, and experience with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key insights, recognize key opportunities, and drive strategic initiatives forward.
Responsibilities
Work with product, medical, and engineering teams to turn data into insights and recommendations.
Conduct exploratory analysis to identify opportunities for new features, model their impact, and drive performance improvements.
Build and maintain dashboards to improve data visibility and monitoring.
Analyze product performance, user behavior, and interactions to showcase product value.
Define, measure, and build monitoring tools for key KPIs.
Visualize insights clearly to improve understanding and decision-making.
Support roadmap planning by identifying trends, gaps, and opportunities.

Were looking for a Senior Data Engineer to lead the architecture and development of large-scale, production-grade data pipelines supporting ML inference systems.
What will your job look like:
Architect and own end-to-end data pipelines for large-scale model inference
Design high-throughput, scalable data streaming to the cloud
Integrate data conversion into data collection and inference pipelines
Drive performance, scalability, and reliability across distributed systems
Partner with ML, platform, and infrastructure teams

Were seeking a strategic and collaborative data Science Group Leader to lead a combined group of data scientists and developers, which is focused on researching, building, and delivering beta and experimental capabilities that explore whats next in analytics, Machine Learning, and Generative AI. In this role, you will ensure alignment with our organization's vision and product direction. As a manager, you will cultivate a culture of innovation and accountability, fostering a team that serves as both a creative proving ground for ideas and a reliable pipeline for transitioning validated capabilities into our core products. You will lead two disciplines through team leaders and senior contributors: data Scientists, focused on advanced analytics, ML, and GenAI Full-Stack software engineers responsible for rapidly turning ideas and models into usable, customer-facing lab applications This role sits at the intersection of AI leadership, hands-on technical guidance, and product innovation, and is designed for a leader who can bridge research and engineering disciplines rather than replace strong specialists. What Youll Do: Team Leadership and Development: Lead and mentor a team of approximately 10 high-performing professionals, including team leaders, data scientists, and software engineers. Coach managers and senior contributors to foster a strong leadership environment, driving continuous development and career advancement within the team. Strategic Planning and Goal Setting: Establish clear operational goals and key performance indicators across teams, promoting alignment and accountability. Design and implement a strategy that aligns with corporate objectives and product direction, ensuring a proactive stance on emerging industry trends. Innovation and Product Development: Identify and evaluate emerging opportunities in predictive analytics, Machine Learning, and Generative AI, ensuring a balance between rapid experimentation and adding substantial customer value. Collaborate closely with product managers and core engineering teams to successfully transition high-potential lab initiatives into production when appropriate. Technical Oversight and Quality Assurance Provide decisive hands-on technical leadership, shaping strategies for solution development, guiding modeling decisions, and overseeing the design of system -level architectures. Establish industry best practices for AI/ML development, focusing on model evaluation, safety, and performance. Interdepartmental Collaboration: Work closely with Product Management, Engineering, Professional Services, and Customer Success to ensure alignment and integration of lab initiatives with business objectives. Maintain an active dialogue with customers and industry trends to translate insights into actionable lab projects. Contribute to demos, talks, blogs, or conference presentations
Position Intro:
We are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. We have been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Were looking for a Senior Data Analyst to help ensure the quality, completeness, and integrity of our foundational data. Youll work closely with data engineers, product managers, and operations teams to monitor pipelines, evaluate new data sources, design performance metrics, and derive insights that improve our entity models and customer outputs.
This role is ideal for a highly analytical and independent thinker who enjoys working with complex data ecosystems and translating messy real-world data into actionable insights.
RESPONSIBILITIES
Data Quality & Metrics
Define and maintain KPIs and quality metrics for POI and chain data accuracy, coverage, and freshness.
Monitor large-scale ingestion and enrichment pipelines, identifying anomalies, data drifts, or source inconsistencies.
Operational Analytics
Design dashboards and tools to track data health, system performance, and SLA compliance.
Provide visibility into the performance of automated systems and manual processes across the Foundation domain.
Cross-functional Collaboration
Work with engineers to validate and optimize merge, enrichment, and geocoding logic.
Partner with product and operations to assess the impact of data changes on downstream systems and customer-facing products.
Exploration & Research
Evaluate new data providers, test hypotheses about data behaviors, and contribute to decision-making for third-party integrations.
Develop data-driven recommendations to improve POI modeling and chain linkage accuracy.

Were looking for a Data Engineer to join our core Data group at headquarters. In this role, youll design and build central data platform infrastructure, driving the companys data strategy forward.
Youll collaborate closely with data professionals and R&D teams, taking ownership of key systems and having a direct impact on the success of our data ecosystem.
What Youll Do:
Be a member of the team responsible for the design and creation of the organizations data platform and data pipelines.
Lead GenAI developments in data related areas
In charge of development and maintenance of data infrastructure hosting data processes consolidating varied data types from multiple origins
Development of cloud infrastructure for data engineering and BI use
Build core MLOps infrastructure and processes for ML and AI models

We are looking for an experienced, proactive, and technically skilled Senior BI Engineer to take ownership of data products and business knowledge across our multi-brand ecosystem. You will be instrumental in designing the data architecture that drives global innovation and growth across the entire company.
What You Will Own and Deliver:
As a Senior BI Engineer, you will operate as a strategic partner, deeply leveraging our value of being obsessed with Data.
Domain Data Ownership: Become the go-to expert for high-impact domains like B2C Marketing and Supply, deeply understanding their metrics, business logic, and data needs to build comprehensive, accurate, and consolidated data models across all Travelier brands.
Strategic Architecture & Modeling: Design DWH to be AI-first, accessible by agents. Design, develop, and maintain advanced, scalable data models and ETL pipelines within our Google Cloud Platform (GCP) environment, focusing on performance, reliability, and cost optimization for petabyte-scale data. Modern Data Stack Implementation: Drive the adoption and best practices of our modern data stack, specifically leveraging DBT for data transformation, testing, and documentation, and Airflow for robust pipeline orchestration.
Executive-Level Product Development: Partner directly with executive management and business leaders across different global brands to translate complex, high-impact business questions into insightful, interactive BI products (semantic layers, self-service data models).
Technical Leadership & Mentorship: Act as a technical leader, mentoring junior team members on data modeling, SQL optimization, and data governance.
Data Governance & Quality: Enforce data governance standards, ensuring data quality, accuracy, and reliability across all owned domains in a consolidated environment.