POSITION DESCRIPTION: Summer Intern - Data Analytics / Machine Learning Scientist
**This is a project-based position that does not provide paid time off or benefits. The length of the assignment will be approximately three months (June – August, 2017).
We’re looking for research scientists to work on machine learning, data mining, and statistical modeling for predictive and prescriptive enterprise analytics.
Successful candidates will be expected to conduct research in advanced machine learning and
statistical modeling, and design, develop, and deploy state-of-art, scalable systems for
innovative analytics applications in a set of industrial verticals (e.g. healthcare, transportation,
customer care 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 in support of on-demand, real-time analytic services.
Responsibilities:
Research, design and prototype novel models based on machine learning, data mining, and statistical modeling in order to solve hard analytics problems, where the problems may range from exploratory to highly applied
Keep abreast of the latest developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand
Collaborate closely with university partners and other scientists and engineers in a multidisciplinary 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 with a strong record of scholarship or entrepreneurship
Strong knowledge and skills in rapid prototype programming languages, such as Python and Java
Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realized in practice
Strong analytical, written and verbal communication skills
Proficiency in publicly available data analytics toolkits and experience in manipulating and analyzing large data sets
Please apply here:
https://conduent.taleo.net/careersection/conduent_external_portal/jobdetail.ftl?job=17000958