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Data Scientist/Software Engineer

P2 Analytics is a Boston-based analytics tech startup, focused on the development and deployment of machine learning and optimization algorithms. P2 develops custom solutions for clients in a wide range of industries, in addition to specific strategic software verticals with scalable deployment capacity.

 

The founding team met at MIT, and saw in P2 an invaluable opportunity to leverage the tools and skills they developed there to solve the most complex of business decisions, across nearly every industry. P2 stands for “Predictive” and “Prescriptive” analytics, combining our expertise in machine learning and robust optimization.

 

The core of our business is developing creative, cutting-edge algorithms to solve big problems in new ways. As a data scientist at P2, you will work with the entire P2 team to study a variety of industries’ most complex decisions, strategize how to solve the challenge of making these decisions optimally, and develop the technology to bring P2’s clients to the forefront of their industries.

 

Responsibilities may include (depending on applicant expertise and interests):

1.   Employ statistical methods and visualization techniques to generate descriptive data insights

2.   Implement machine learning/predictive algorithms, and/or develop proprietary ones

3.   Participate in the formulation and coding of large scale optimization problems (linear, nonlinear, integer, adaptive, robust)

4.   Participate in the development of back-end software infrastructure

5.   Interact with clients

 

Requirements

1.   Degree in Operations Research, Computer Science, Mathematics or a related field

2.   A high level of skill in developing data-driven algorithms in a relevant programming language (e.g., Java, R, Python, C, Matlab)

3.   The desire to work in a close-knit, supportive, team environment