Job Responsibilities The Director, AI and Data Enablement will build and scale enterprise artificial intelligence (“AI”), digital capabilities, and a data operating and governance model that enables measurable business impact across Koppers. Enterprise AI and Data
What We Do: Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work
What We Do: Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work
The Pirates Why The Pittsburgh Pirates are a storied franchise in Major League Baseball who are reinventing themselves on every level. Boldly and relentlessly pursuing excellence by: purposefully developing a player and people-centered culture; deeply connecting
Title: Data Architect Reports To: Director - Data Engineering Location: Pittsburgh, PA or New York, NY American Eagle is a youth culture brand grounded in denim. Our purpose extends beyond making the best jeans–we embrace self
Director, AI and Data Enablement The Director, AI and Data Enablement will build and scale enterprise artificial intelligence (AI), digital capabilities, and a data operating and governance model that enables measurable business impact across Koppers. Enterprise
We Do Consulting Differently The Associate position is a full-time entry level consulting staff position. Associate positions are for candidates with an expected graduation date between December 2026 and July 2027. About the Role From day
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side