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Data Scientist

Keystone is a premier strategy and economics consulting firm solving the most complex challenges of competition, strategy, and intellectual property for leading technology firms and global brands. We work at the forefront of influential technology cases changing consumer behavior and regulation laws and impacting society on a global scale. Keystone brings an interdisciplinary approach, leveraging the intersection of economics, technology, and business strategy to deliver transformative ideas.

The Keystone Advanced Technology Solutions (K.ATS) group is made up of engineers, computer scientists, and data scientists, and plays a key role in Keystone’s interdisciplinary approach. Data Scientists on the K.ATS team focus on everything from natural language processing to machine learning models, and help find creative ways to apply those approaches to solve unique, large-scale, highly complex problems.

At Keystone you will work on highly impactful technical challenges with Fortune 100 tech and law clients, grow your professional network, and gain relationships that last a lifetime. You will have the opportunity to partner with leading academic experts from Stanford, Harvard, MIT, Wharton, and other top universities on some of the most interesting problems today. You will expand your technical skills working on a broad range of fast-paced technology focused projects with cutting-edge companies and make an immediate impact.

Qualifications:

Data Scientists at Keystone have a diverse mix of academic backgrounds and professional experience. We hire directly out of Undergraduate, Master's, MBA, and PhD programs as well as from a variety of employers from both the public and private sectors. Regardless of level, data scientists at Keystone will typically have:

  • 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

US Salary Range: $97,000 - $198,000, plus an annual discretionary bonus, 401k contribution, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, qualifications.


At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone Strategy.

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CEO of Keystone Strategy
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Greg Richards
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Keystone delivers transformative ideas through uncommon service to solve the most critical challenges in technology and science-driven industries.

3 jobs
TEAM SIZE
DATE POSTED
August 6, 2023

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