Data Scientist

The Keystone Advanced Technology Solutions (K.ATS) group is seeking Data Scientists to work on unique, large-scale, highly complex problems. The team is made up of engineers, computer scientists, and data scientists who work on everything from natural language processing to machine learning models. Data Scientists at Keystone have a diverse mix of academic backgrounds and professional experience, and will work on highly impactful technical challenges with Fortune 100 tech and law clients. The role requires proficiency in a variety of data science technologies, analytical skills, and the ability to manage multiple complex work streams.

• Work on highly impactful technical challenges with Fortune 100 tech and law clients
• Partner with leading academic experts from top universities on interesting problems
• Expand technical skills working on a broad range of fast-paced technology focused projects
• Develop creative ways to apply natural language processing and machine learning models to solve unique, large-scale, highly complex problems
• Have a diverse mix of academic backgrounds and professional experience in data science, software development, or related fields
• Be well-versed on technological "hot topics" including AI/ML, Cybersecurity, Data Science, NLP, Distributed Computing, Blockchain, or others
• Have proficient knowledge and experience with a variety of data science technologies
• Learn quickly with a passion for excellence
• Work in a fast-paced, self-directed entrepreneurial environment
• Possess analytical skills with a keen understanding of financial and operational levers
• Manage multiple complex work streams and work across organizational boundaries
• Effectively communicate technical concepts across a wide range of audiences
• Collaborate with multiple functional areas as a team player.

• 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