Keystone is a premier technology-industry consulting firm that delivers extremely novel solutions to the most challenging strategy and economics problems. We work with the world’s leading companies, including Facebook, Nike, Amazon, Microsoft, GE, Intel, Expedia, Zillow, LinkedIn and others. Our team members learn the most advanced strategy, analytical and general management skills commonly practiced by firms like McKinsey and Bain while also developing entrepreneurial skills to build high growth businesses. We develop thought leadership in management science and economics by working alongside experts from top institutions including Harvard, Stanford, Wharton, Kellogg, and MIT.

Keystone teams derive extraordinary insights through rigorous analysis of large scale datasets. Our autonomy to operate across the full value chain of unstructured data requires a core team of creative, analytical talent. Keystone offers a unique opportunity for Economists to take one of two equally challenging paths to Partner: (1) be a generalist and manage projects broadly or (2) develop deep expertise in one or more economic practice areas (such as antitrust, intellectual property, etc.) and create extraordinary impact. Our focus on training and development and constant engagement with a network of world-class academic experts and business leaders positions us well to guide our economists along either career path.

Keystone is looking for great candidates who want to advance their careers and business skills while learning to build companies. Economists work side by side with experienced managers and partners and top academic experts and engage directly with clients who lead in their industries.

At Keystone, we invest heavily in the career advancement of our Economists. We have an extremely successful track record of building differentiated professional and personal CVs for our team members. Our Economists have consistently gone on to senior positions in our firm and prominent operating positions in high growth firms. Whatever the path —– our Economist team members and alumni move into leadership positions far before their peers.

Candidates should have a PhD in economics (or will graduate with a PhD in 2016) and superlative economic and econometric modeling skills. Ideal candidates will have significant experience working with at least one major statistical software package (such as Stata or SAS) as well as constructing and analyzing large datasets. Experience performing economic analyses using a programming language such as Matlab, Python, or R is a bonus. 

What will you learn at Keystone?

#1 You will develop an Entrepreneurial Mindset: You will take on challenges before you have the resources to complete them, and you will learn to marshal the resources necessary to succeed. This skill will differentiate you in every future endeavor – you will know how to start from scratch and get things done.

#2 You will embrace your Passion for Technology: You will solve hard challenges for leading-edge science and technology companies in several areas including: online advertising, mobile applications, internet search, social media, internet of things, and others.

#3 You will work with Big Data: By working alongside economists and academic experts, you will learn sophisticated modeling approaches and econometric techniques required to manipulate and draw conclusions from the enormous data sets available to companies today.

#4 You will have Extraordinary Impact: We believe a great workplace is working with superstar colleagues, and we regularly exceed client expectations by surprising them with our creativity and insight.

Application Process

We believe that rewarding job experiences depend on strong “fit.” We ask all applicants to provide a resume and a short and specific cover letter describing how Keystone can advance your career goals. Some topics that you might consider in your letter include:

  1. What sets you and your work apart from your peers?
  2. What do you hope to achieve in the next 3 to 5 years of your career?
  3. How might Keystone help you achieve this?

 

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