Lead the design, development, and implementation of our machine learning products, including the development of modeling complex, real-world problems and complex data pipelines to support production systems. Monitor and maintain production machine learning data pipelines. You will iterate quickly and are a continuous learner and are comfortable in a face-paced environment
You will collaborate with cross-functional teams to evaluate generative AI models and their impact on users, bringing a deep understanding of user behavior into the development and evaluation of Spotify’s foundational AI products. Perform analyses on AI models and user behavior to help drive strategic and product decisions. Design and analyze experiments and perform causal inference when A/B testing is not an option.
IDC is seeking a Data Engineer to join our platform and analytics team, where you’ll architect and scale data ingestion pipelines, lead master data management (MDM) efforts, and enable clean, reliable data infrastructure for both analytics and cutting-edge AI initiatives. You’ll collaborate with cross-functional teams to make high-quality data a strategic asset across the business.
Own Growth Analytics Initiatives by proactively identifying, scoping, and delivering analytics projects that accelerate user growth, engagement, and monetization. Design, implement, and analyze A/B tests and growth experiments, rapidly iterating based on data, and driving projects from hypothesis to measurable impact. Deliver actionable recommendations for product features, onboarding flows, and personalization, tracking implementation through to business impact.
Help improve business dashboards (company-wide performance indicators, revenue and sales funnel, performance by project, finance and collections, and people and talent). Interact with departments to understand needs and turn them into deliverables. The role involves analyzing company data and dashboards, extracting insights, and recommending actions, plus assisting the Head of BizOps with relevant information and analysis for decision-making and presentations.
As a Senior Data Warehouse Engineer, you will play a key role in designing, building and optimizing enterprise data warehouse and data pipelines, ensuring high-quality, scalable, and secure data infrastructure to support analytics, reporting, and AI initiatives across the organization.
Leverages physics research expertise to test and analyze phenomena, captured with imaging systems, conduct R&D programs, and support client challenges. Develops innovative solutions to complex problems. Works without considerable direction, and mentors and supervises team members, as needed.
Uncover key drivers of customer behavior and product adoption, translating findings into actionable recommendations to enhance engagement and growth. Manage the full cycle of iterative data exploration, including hypothesis setting, data cleansing, insight visualization, and action planning. Independently lead complex, strategic deep-dive analyses to identify opportunities to grow revenue and customer retention.
The Associate Research Analyst identifies, collects, and manages large sets of data to support the research needs of the business in developing and maintaining research products. This role ensures accurate, timely, and efficient data gathering from various sources. They play a critical role in the data lifecycle and maintain data integrity.
The Data Engineer supports data infrastructure and analytics in a healthcare IT environment. You’ll help deliver reliable, scalable data solutions that drive critical business insights and operational decision-making in a long-term contract role with a 100% remote work option, a friendly and professional team environment, and a strong focus on work-life balance.