Top Data & Analytics Jobs in Pittsburgh, PA

The Senior Data Scientist will analyze large datasets, design experiments, and build predictive models for decision-making. Responsibilities include optimizing processes, collaborating on solutions for client problems, and participating in an agile software development environment. Strong communication skills and proficiency in data science fundamentals are required.

The Associate Director will lead research and analytics on private markets, producing narrative commentaries and reports that analyze market trends. This includes conducting both quantitative and qualitative research, collaborating with various teams, and leveraging data-driven insights to inform financial market participants.

The Managing Consultant will create 3D visualizations, renderings, and animations for various projects in the renewable energy and extractive sectors. The role involves using advanced visualization technologies and ensuring technically defensible deliverables for regulatory and public outreach purposes.

The Lead Research Data Scientist at Allegheny Health Network will develop analytical solutions to support health-related initiatives. Responsibilities include consulting with stakeholders, applying statistical models and machine learning techniques, leading complex data projects, and maintaining data integrity. The role requires extensive experience in data analytics and healthcare, as well as a doctorate in a quantitative field.

The Senior Data Scientist will design, develop, and deploy AI/ML models using Python and Neo4j. The role involves applying advanced machine learning techniques, managing graph-based data models, and engaging with clients and sales teams to present AI solutions. It also includes deploying models in cloud environments and working with CI/CD pipelines.

The Audit Analytics Data Analyst role at Viatris involves analyzing data sets, developing insights, and making recommendations to enhance internal audit processes. Responsibilities include collaborating on dashboards, sourcing and automating data, conducting quantitative analysis, and presenting findings to stakeholders. The analyst must also ensure data integrity and stay updated on industry trends.

The Data Demand Lead manages the intake and fulfillment of data requests, collaborates with data and IT teams, enforces data governance, addresses data quality issues, and reports on key metrics. This role requires strong leadership and analytical skills to support data-driven decision-making for the organization.