The Data Science team is integral to Alma's mission, utilizing data to inform business strategy and drive product innovations. In this high-impact role, you will lead the execution of key strategic initiatives to enhance customer acquisition, optimize marketing efficiency, and improve client conversion. You will leverage your expertise in analytics, machine learning, and GenAI to address complex challenges, including client-provider matching, Lifetime Value (LTV) prediction, and conversion funnel optimization.
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The Data Science team is integral to Alma's mission, utilizing data to inform business strategy and drive product innovations. In this high-impact role, you will lead the execution of key strategic initiatives to enhance customer acquisition, optimize marketing efficiency, and improve client conversion. You will leverage your expertise in analytics, machine learning, and GenAI to address complex challenges, including client-provider matching, Lifetime Value (LTV) prediction, and conversion funnel optimization.
This role involves developing state-of-the-art AI systems to empower scientists and physicians, focusing on using AI across modalities like images and text to accelerate scientific research. You will collaborate with scientists, engineers, and biologists to drive advancements in translational sciences, utilizing your background in data pipelines, large language models, and computer vision. A background in biology and/or medicine is preferred.
You’ll be joining a small, high-impact data engineering team within Federato’s AI/ML organization, where the focus is on building the infrastructure and internal frameworks that empower machine learning engineers. Data and tooling are reliable, scalable, and aligned with the needs of our AI-native platform which enables machine learning engineers to develop, deploy, and iterate on AI-powered features.
The Senior Manager, Data Strategy & Analytics is a high-leverage leadership role responsible for maximizing the value of the organization's data assets to drive strategic decision-making. This role acts as the primary data priority owner, translating executive strategy into technical requirements and analytical outputs. They will define and advance the organizational Data Strategy and Maturity Roadmap, while also leading the execution of advanced analytics to support key business decisions.
Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning. Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact. Develop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organization.
This role involves developing state-of-the-art AI systems to empower scientists and physicians, focusing on using AI across modalities like images and text to accelerate scientific research. You will collaborate with scientists, engineers, and biologists to drive advancements in translational sciences, utilizing your background in data pipelines, large language models, and computer vision. A background in biology and/or medicine is preferred.
Looking for a Senior Data Engineer with strong Python and SQL skills to join the Data Operations team. You will build data integration pipelines that feed into our data lakes and warehouses while maintaining data quality and integrity in our data stores. You will work closely with key stakeholders and understand and implement business requirements and see to it that data deliverables are met.
- Build and enhance cloud-based data tools and reporting systems.
- Develop robust, scalable data pipelines.
- Leverage emerging AI tools to accelerate development.
As an Software Engineer III, Data Platform, you'll be both a hands-on technical expert and a strategic leader. You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform. You'll own end-to-end solutions while helping guide the long-term direction of GlossGenius' data ecosystem.