Machine Learning Researcher at Palo Alto Research Center, Webster

The Palo Alto Research Center in New York has position opportunities in machine learning, data mining, and statistical modeling for predictive analytics. Successful candidates will be expected to conduct research, design, develop, and deploy state-of-art, scalable predictive analytics for innovative applications in urban informatics, social analytics, and other industry verticals (e.g. healthcare, transportation, financial services, etc.). Applicants will be expected to work with a diverse set of data sources, such as time series data, spatial, graph data, semi-structured and unstructured data, and build statistical/machine learning models to uncover and predict value-driven insights to support on-demand, real-time analytic services.
A PhD in computer science or related field is required. Knowledge of fundamentals of machine learning, data mining and statistical predictive modeling is highly desired. Proficiency in publicly available data analytics toolkits (such as Scikit-Learn, Mallet, etc.) and experience in manipulating and analyzing large data sets using existing technologies such as Hadoop, high performance computing platform will be a big plus. The applicant should also have strong skills in explaining and interpreting the analytic models and outcomes in both research and application contexts.
Role/Responsibilities
Invent, design and prototype novel next-generation technologies in the areas of machine learning data mining, and statistical modeling. Collaborate closely with other R&D scientists and engineers in a multi-disciplinary work environment. Work with existing “intrapreneurship” and business teams to develop and help commercialize highly adaptive and robust models.
Requirements
A Ph.D. in computer-science or related field or an M.S. or B.S. with equivalent work experience, and with a strong record of scholarship or entrepreneurship.
Strong knowledge and skills in rapid prototype programming languages, such as Python, Java, and/or R.
Candidates should possess the interest to work in multi-disciplinary environments, and should have the desire to see their ideas realized in practice.
Strong analytical, written and verbal communication skills.
? Candidates may send their resumes to Tong.Sun-AT-parc.com or Saurabh.kataria-AT-parc.com
Drawing on diversity of a global workforce and offering an equal opportunity to achieve success. EOE M/F/D/V.