Data Scientist

Keystone is a premier strategy and economics consulting firm that specializes in solving complex challenges in competition, strategy, and intellectual property for leading technology firms and global brands. The Keystone Advanced Technology Solutions (K.ATS) group, which consists of engineers, computer scientists, and data scientists, plays a crucial role in the company's interdisciplinary approach. Data Scientists on the K.ATS team focus on applying natural language processing and machine learning models to solve unique, large-scale, and highly complex problems. Working at Keystone offers the opportunity to tackle impactful technical challenges, collaborate with top academic experts, and make a significant impact in the technology industry.

Work on highly impactful technical challenges with Fortune 100 tech and law clients

Partner with leading academic experts from Stanford, Harvard, MIT, Wharton, and other top universities on interesting problems

Expand technical skills working on a broad range of fast-paced technology focused projects with cutting-edge companies

Solve unique, large-scale, highly complex problems using natural language processing and machine learning models

Apply interdisciplinary approach to competition, strategy, and intellectual property challenges for technology firms and global brands

Deliver transformative ideas by leveraging the intersection of economics, technology, and business strategy

• Degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field
• Professional or academic experience in data science, software development, or a related field
• Well-versed on technological "hot topics" including AI/ML, Cybersecurity, Data Science, NLP, Distributed Computing, Blockchain, or others
• Proficient knowledge and experience with a variety of data science technologies

• US Salary Range: $97,000 - $198,000
• Annual discretionary bonus
• 401k contribution
• Competitive benefits package
• Opportunity to work with a variety of employers from both the public and private sectors
• Degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field
• Professional or academic experience in data science, software development, or a related field
• Well-versed on technological "hot topics" including AI/ML, Cybersecurity, Data Science, NLP, Distributed Computing, Blockchain, or others
• Proficient knowledge and experience with a variety of data science technologies
• Ability to learn quickly with a passion for excellence
• Desire to work in a fast-paced, self-directed entrepreneurial environment
• Analytical skills with a keen understanding of financial and operational levers
• Ability to manage multiple complex work streams and work across organizational boundaries
• Able to effectively communicate technical concepts across a wide range of audiences
• Team player who can collaborate with multiple functional areas
• Opportunity for career growth with colleagues from varied backgrounds and cultures
• Foster an inclusive culture with a deep sense of respect and belonging