Top Data Science Jobs in Pittsburgh, PA

Develops and implements data solutions, ensuring scalability and maintainability while leading data analysis and preparation efforts.

Drive revenue growth by managing a team of Sales & Value Engineers, developing technical strategies, and establishing partnerships with large enterprises. Shape solutions, accelerate customer success, and mentor team members in delivering impactful demos and presentations.

Lead and scale the global AI Center of Excellence, overseeing the development and execution of AI solutions for cybersecurity challenges.

Lead product strategy for Merchant Performance Growth, build intelligence capabilities, and drive attribution efforts while collaborating across teams to enhance merchant relationship and revenue.

The Staff Data Scientist will lead predictive solutions development, collaborating with multiple teams to drive business outcomes through AI/ML model implementations.

The Sales Engineer Intern will engage with the sales team, learn products, assist in technical demonstrations, and use analytical skills to present solutions to potential customers.

The Partner Marketing Manager will develop and execute marketing programs with strategic partners, enhance partner relationships, and drive pipeline growth in the data and AI sectors.

As an Associate Product Manager, you will gain hands-on experience managing products, launching features, and collaborating across teams. You'll be trained in product management, focus on customer needs, and help deliver innovative solutions that drive business impact.

This role involves leading a technical support team, managing incident processes, collaborating cross-functionally, and driving operational improvements in healthcare tech.

The Sr. Data Scientist will analyze language-based clinical data to generate insights, support operations, and drive product innovations using AI technology in mental health care.

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

Lead the AI Evaluations product framework at Dropbox, focusing on metrics, model performance, and user satisfaction for AI features. Collaborate with AI, data, and research teams to define success metrics and operationalize evaluation tools.

Lead a team of Data Scientists and Machine Learning Engineers to develop ML models, drive product strategy and enhance data infrastructure.

The Product Owner II oversees feature prioritization for the Agile team, collaborates with stakeholders, and drives AI innovation in underwriting risk assessment.

Lead Value Consultant responsible for executing value management strategy, enhancing customer value initiatives, and driving cross-functional collaboration for impactful outcomes.

This role involves managing the product roadmap for energy SaaS solutions, collaborating with teams to define user stories, and supporting marketing efforts.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Senior Data Science Manager will lead a team in marketing data engineering, focusing on data platforms, pipelines, and analytics to drive business value in a highly regulated banking environment.

As a Software Architect at PNC, you will design and implement technical infrastructure, optimize applications, and participate in QA while focusing on databases and UI development.

The Director of Marketing Analytics leads efforts in measuring marketing effectiveness, providing data-driven insights, and collaborating with cross-functional teams to drive customer acquisition and retention strategies.

As a Data Science Group Manager, you will lead data product strategies, ensure data quality, and foster cross-functional collaboration while mentoring a team of Data Scientists.

The Data Science Lead will spearhead data science initiatives, create predictive models, mentor the team, and strategize to elevate data usage across the organization.

Drive development for ads measurement and targeting tools. Define metrics for campaign performance. Collaborate with cross-functional teams and lead experimentation initiatives.

Lead and manage a team of data scientists to leverage insights for business growth, influence decision-making, and foster an inclusive team culture.

Drive measurement models, manage pixel and ID data, ensure privacy compliance, and enhance data quality for eCommerce analytics across multiple platforms.