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The Senior Specialist Data Analytics will lead data projects, perform analysis, and develop machine learning models while acting as a bridge between business and IT stakeholders. The role involves building dashboards and providing domain-specific consulting services.
Build and maintain BI reports in Power BI, automate data pipelines, and deliver data-driven insights to guide business decisions at a product company.
Lead Data & Analytics Engineer managing data pipelines, dashboards, and reporting for client projects, while leading data and analytics engineers and handling client technical communication.
The Data Scientist will build and maintain training pipelines, develop departure delay prediction models using flight and weather data, and collaborate with backend teams to integrate and monitor models in production.
The Python Developer/Data Scientist will build microservices, design backend services, and create data pipelines to transform raw data into actionable insights. The role involves collaborating with cross-functional teams and ensuring system quality through testing and monitoring.
The Senior AI Engineer will develop and integrate AI models and platform components to enrich and normalize product data within PIM systems. The role focuses on building scalable AI solutions to derive actionable insights from structured and unstructured datasets.
This postdoctoral position involves conducting health data science research, specifically applying network medicine methods and integrating omics and physiological data to develop precision medicine approaches.
The Data Scientist will analyze and model municipal heating solutions, design ETL pipelines, and develop cloud-based software features to support the energy transition. The role involves processing large datasets and presenting findings to stakeholders.
The Data Scientist will develop predictive models and labor productivity benchmarks to optimize workforce planning for venues. They will analyze sales drivers and collaborate with management to improve scheduling efficiency.
The Senior Data Engineer will design and maintain scalable data pipelines using Azure Data Factory, SQL, and Azure DevOps. The role involves integrating cloud and on-premises data sources while ensuring security and operational efficiency.
The Software Engineer will develop, evaluate, and improve in-cabin perception software for driver monitoring systems. The role involves collaborating with stakeholders, managing project deliverables, and ensuring functional safety and SOTIF compliance.
The Full Stack AI Engineer will design and deploy generative AI applications, including AI agents, RAG solutions, and document processing tools, while managing MLOps pipelines and AI governance.
Build LLM applications using TypeScript across the full stack, designing prompts and guardrails while collaborating with product, AI, and compliance teams.
The Internal Audit Manager leads the data analytics and automation strategy for internal audits, focusing on implementing machine learning for anomaly detection, automating workflows, and performing Sarbanes-Oxley controls audits.
IT Data Analyst I supporting business intelligence, metrics, dashboards, and public-facing reporting for the Commonwealth of Massachusetts, with a hybrid work schedule.
IT Data Analyst supporting business intelligence, dashboard/report development, and cross-agency data sharing for the Commonwealth of Massachusetts government.
The Data Science Professional will analyze digital and offline data to provide actionable insights and support business decision-making. The role involves building and maintaining Qlik dashboards, managing data governance, and coaching teams on data literacy.
The Data Engineer III will build and maintain data pipelines, develop ETL jobs, and implement data governance and quality measures within a healthcare-focused environment. The role also involves mentoring junior engineers and ensuring data security and standards are upheld.
Senior Analyst driving customer data analysis, reporting development, and cross-functional analytics projects for a large retail company, with a focus on translating data into actionable insights for executives.
The Data Governance Lead will develop and implement data governance frameworks, policies, and standards while managing data ownership, stewardship, and AI-enabled governance capabilities. This role involves defining critical data elements, managing governance forums, and integrating risk controls into data product delivery.
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