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Develops and deploys AI agent features, collaborates on product direction, and integrates LLMs/voice AI in a startup setting.
Principal Clinical Data Scientist focused on embedding enterprise data standards, defining metadata governance processes, and ensuring data consistency across clinical initiatives at a large pharmaceutical company.
The AVP/VP Data Analyst will analyze large datasets to identify operational risks and control gaps, develop dashboards, and utilize AI LLM tools to extract actionable insights. The role involves collaborating with stakeholders to improve risk methodologies and monitoring key risk and performance indicators.
Develops AI-driven integrations and workflows for mergers & acquisitions, focusing on cloud-native AWS solutions, API development, and operationalizing AI services with MLOps and observability.
Data Engineer building and optimizing automated data ingestion pipelines, a Risk Data Hub, and management dashboards for ICT risk reporting at a major stock exchange.
Embedded testing specialist focused on end-to-end system analysis, black box testing, and validation of network products including OSI L2/L3 protocols, VLANs, and loop protection protocols.
Build and maintain GCP data infrastructure, including BigQuery pipelines, ETL/ELT transformations, and cloud platform architecture for a grocery retailer.
Analyzes financial data, builds BI dashboards, and supports reporting for corporate customers and regulators using reporting tools and data integration.
The Data Scientist will build and maintain enterprise-grade AI platform components, focusing on MLOps, LLM orchestration, and infrastructure provisioning using tools like Kubernetes, Terraform, and AWS services. They are responsible for the full lifecycle of model deployment, monitoring, and optimization within the bank's data office.
Builds and maintains dashboards, cleans data, and supports learning systems for a company focused on education technology.
Marketing Data Scientist analyzes marketing performance, builds dashboards, and designs attribution models to optimize campaigns and creator partnerships using SQL, Python, and visualization tools.
The Data Analyst for the Office of Neighborhood Safety in Saint Paul is responsible for collecting departmental data, conducting research, and developing analytical frameworks to track the progress and outcomes of safety strategies.
The Data Analyst will analyze buyer and seller behavior, design self-serve dashboards, and run A/B tests to inform business strategy at 1stdibs. This role involves translating business requirements into actionable data products and streamlining data collection processes.
The Advanced Cyber Security Analytics Engineer analyzes network data trends and incident activity to predict adversary behavior and tune SIEM rules. The role involves investigating compromises and documenting findings within a ticketing system.
- Administer Linux systems - Automate infrastructure with IaC - Develop Bash scripts - Develop Python scripts - Diagnose root cause problems - Evaluate HPC software stack - Integrate HPC systems - Lead HPC software…
The Junior Data Engineer will build and maintain data pipelines, develop data models, and create Power BI reports to support data-driven decision-making. The role involves collaborating with cross-functional teams to improve data quality and manage data governance.
Build data models, pipelines, and analytic consumption layers while applying software engineering best practices like version control, code review, and unit testing.
Summer analyst supporting arbitrage research (merger and convertible arbitrage), event-driven portfolio risk management, and trade idea generation at a quantitative investment firm.
Builds and maintains data ingestion pipelines in Snowflake, transforms data with Python/SQL, and supports data teams with governed datasets and analysis-ready outputs.
The AI/Machine Learning Engineer will design and implement agentic workflows using LLMs, integrating them with APIs, enterprise data, and mission platforms. The role focuses on ensuring these AI systems are secure, compliant, and reliable in production environments.
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