DecisionQ is a fast-paced predictive analytics company. We engineer technologies that range from unsupervised artificial intelligence to network analysis and pattern recognition. We employ these technologies to transform complex intractable problems into predictive mathematical insights that are used across a variety of industries. We seek applicants who enjoy an entrepreneurial environment and have a keen interest in big data, statistics, and machine learning to join our team. We offer training on all our groundbreaking analytic tools.

Prepare data for analysis and use machine-learning technology to produce predictive insights.

Collaborate with co-workers and clients to understand client problems and develop analytic solutions.

Manage multiple high-priority tasks that have competing deadlines.

Clearly and effectively communicate through multiple mediums, both internally and to clients.

Stay apprised of current and emerging trends in applied mathematics, statistics, and machine learning.

Bachelor’s degree or higher in Applied Mathematics, Statistics, Engineering (e.g., Computer, Electrical, Network), or a related discipline.

One or more years of work experience, including internships, developing predictive analytic models.

Proficiency with statistical tools (e.g., R, SAS, MATLAB).

Experience with programming languages (C++, Java, Python); cloud-based systems (e.g., AWS); and relational (e.g., SQL) and non-relational databases (e.g., graphical databases).

Demonstrated ability to work independently, apply creativity, and rapidly learn new skills.

Excellent verbal and written communication skills.

U.S. citizenship required.

 

Students can submit their resumes to careers@decisionq.com.