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Assoc Director, IT Data and AI Product Owner
Leads AI and data product strategy for Gilead’s finance teams, translating business needs into scalable solutions using AI/analytics to automate reporting, planning, and analytics for accounting/controllership.
Associate Director, IT Business Analysis
Lead Data, Analytics, Automation, and AI initiatives for Gilead Sciences Japan, partnering with business leaders across Commercial, Medical, and Corporate Functions to drive solution delivery, adoption, and value realization using platforms like Tableau, Databricks, AWS, Azure, and Microsoft Copilot.
Senior Full Stack Developer
Senior Full Stack Developer designing and building scalable, secure Node.js microservice applications on Azure/AWS, with ETL integration, RESTful APIs, serverless/containerized deployments, and DevSecOps practices.
Contract Databricks Data Engineer
Builds and maintains data pipelines in a Databricks/Azure environment for a fintech client, focusing on ETL, data quality, and platform improvements to support a customer-facing financial portal.
Databricks Data Architect
Designs and builds scalable Databricks-based data architectures to power analytics and AI initiatives for a growing enterprise.
Lead Solution Architect
Lead the architecture of a new regulatory data collection platform for the Bank of England using Azure, defining how financial firms submit and process large volumes of data securely.
Sales & Business Analyst
Nous recherchons un(e) Sales & Business Analyst pour rejoindre notre équipe et jouer un rôle clé dans le pilotage de la performance commerciale en France, avec également un périmètre international. Vous serez au…
Data Scientist - Statistics/ML - Remote
Builds and deploys ML/AI models to analyze healthcare data, improve predictive accuracy, and automate workflows using agentic systems and RAG techniques.
Director, Data and AI Architect
Lead a team of senior Data & AI Architects at Salesforce in São Paulo, helping enterprise customers translate AI ambition into practical architectures using Data 360, Agentforce, and the broader data/AI ecosystem.
Senior Technical Architect, Data 360
Senior Technical Architect leading complex Data 360 (Salesforce Data Cloud) implementations—designing data integration, ETL, and CDP solutions as a strategic advisor to enterprise customers while mentoring internal teams.
Senior Principal Data Engineer
Leads MLOps and forecasting platform architecture on Databricks, designing scalable pipelines for campaign projections, budget forecasting, and incrementality testing to optimize ad delivery at scale.
Program Manager
Program Manager leading mission-critical federal defense contracts, overseeing budget, resources, and compliance while working with cloud environments (Azure/AWS), data tools (Elasticsearch, Kibana, Python, Spark), and requiring active TS/SCI with polygraph.
Senior Data Scientist
Builds predictive models and advanced analytics for the VA to improve healthcare operations, using Python, SQL, and cloud platforms to transform complex datasets into actionable insights for decision-makers.
Senior Manager, Procurement – AI Analytics
Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new…
Senior Manager, Cloud Data Platform Engineering
Lead the strategy, governance, reliability, and operations of enterprise cloud data and AI platforms on Azure, managing engineering teams and partnering across the organization to deliver scalable, secure platform services.
MLOps Engineer
MLOps Engineer building and improving an internal ML platform—developing Python packages, templates, and tooling so data scientists and ML engineers can reliably deploy models. Core tech: Python, Azure, Databricks, Spark, CI/CD.
Engineering-L2-Dallas-Analyst-Software Engineering
Software Engineer on the Data Platform team in Dallas, building and supporting batch and streaming data pipelines, curated datasets, and data quality controls on a modern Lakehouse/AI data stack using SQL, Spark, Python/Java, and tools like Snowflake, Databricks, and Iceberg.