Top Remote Data Science Jobs in Pittsburgh, PA

Collaborate with cross-functional partners, apply quantitative analysis, develop strategies, test opportunities, inform strategy decisions, measure product success, shape product development, and communicate insights.

Chainlink Labs is seeking a Research Engineer with expertise in applied cryptography, distributed systems, and security to define research agendas and drive projects impacting the success of Chainlink's vision. The role involves conceptualizing and designing next-generation systems, pursuing fundamental research, and enhancing company visibility within the scientific community.

Join Arity as a Machine Learning Scientist to work on building scalable distributed machine learning models for analyzing geospatial data and creating innovative insights. Collaborate with a cross-functional team to enhance transportation safety and efficiency through data-driven solutions.

As a Staff Applied Scientist, Machine Learning - Perception at Cruise, you will drive impact-focused projects addressing challenges on urban roads with non-standard solutions. Responsibilities include research, development, problem identification, project leadership, technology guidance, and team enablement. Required qualifications include a PhD/MS in computer vision or machine learning, expertise in specific areas, research experience, strong programming skills, and communication abilities.

As a Staff Data Scientist in Marketing at Cash App, you will build models to optimize marketing efforts, design and analyze A/B experiments, analyze large datasets, partner with the Marketing org, and communicate insights effectively. Qualifications include a bachelor or graduate degree in statistics or data science, 7+ years of relevant experience, proficiency in SQL and data visualization tools, experience with scripting languages, and expertise in Causal Inference techniques.

Senior Data Scientist role in marketing focusing on revenue growth, product optimization, and business monetization through applied analytics techniques and insights. Responsibilities include marketing measurement, developing quantitative models, customer behavior analysis, and data-driven decision-making. Requires a quantitative degree and 5+ years of experience in analytics.

The Lead Data Specialist at Endpoint will supervise a team within Data Management, manage day-to-day operations, interact with study teams, and ensure database integrity. Responsibilities include handling critical issues, training team members, drafting SQL scripts, managing data change requests, and collaborating with clients and IT teams. Requires a Bachelor's degree, 4-7 years of relevant experience, and leadership skills.