299 results
FiltersWe are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.
Lead the architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform (GCP) using BigQuery, GCS, BigLake, and Dataplex. Collaborate with customers to understand business goals, data challenges, and technical requirements. Design and implement data pipelines, establish best practices for data cataloging, and define data security and governance models. Serve as the technical lead, mentoring engineers and ensuring architectural consistency.
Looking for a Senior Data Scientist to join our AI Team to collaborate closely with AI engineers, data engineers, and product teams to drive data-driven innovation and elevate our products to the next level, ideal for someone who combines strong technical modeling skills with business acumen and leadership in analytics initiatives.
As a Data Scientist focused on product growth, you will uncover and drive the insights that accelerate activation, retention, and revenue growth across our Creative Platform. You’ll define and instrument metrics that measure the health of the creator journey, identify growth levers, and help us prioritize features and experiments that expand engagement and monetization.
In this role, you will help clients extract more insight and performance from their data by planning, prioritizing, and orchestrating multi-channel data and predictive analytics projects end-to-end. You will support a diverse portfolio of enterprise clients and consult on a variety of data solutions unique to our clients’ Martech stack and business objectives. You will also manage a team of Data Strategy Managers to maximize the value of data services.
Turn frustrated executives and stakeholders into data-driven visionaries using Power BI and the full Microsoft stack. The trusted advisor who translates business frustrations into technical wins, guiding clients from "we have data but can't use it" to "we're excited to come to work". Train and enable client teams to deliver measurable clarity to stakeholders, scale up dimensional models, and tell stories through compelling visualizations.
The Senior Database Administrator will manage and optimize enterprise-level databases. Responsibilities include ensuring high availability, security, and performance; managing Databricks workspaces; troubleshooting database issues; implementing performance tuning; and collaborating with data engineering teams for data ingestion and integration processes. They will also maintain compliance with company policies and HIPAA requirements.
Work on a variety of impactful customer technical projects inclusive of implementation, troubleshooting configurations, instilling best practices, and solutioning MVPs and long term solutions to customer specific requirements. Consult on architecture and design and ensure our most strategic enterprise customers are adopting the product. Provide critical feedback to dbt Labs product and engineering teams to improve and prioritize customer requests.
SmarterDx is looking for a Data Engineering Manager, Integrations to manage a data engineering team. You will scale new‑client onboarding, raise the bar on data quality and governance, and ensure resilient, observable, and cost‑effective ELT pipelines. You will set objectives, mentor engineers, and partner with other teams to deliver outcomes.
Use your software engineering skills, including Java, Spark, Python, Scala, to Analyze different, complex systems and collaboratively design new products and services Integrate new data sources and tools Implement scalable and reliable distributed data replication strategies Mentor and provide direction in architecture and design to onsite/offshore developers. As a Big Data Engineer, you will report to the Director, Software Development.