南京招聘

职位描述：
Title：Data Scientist Job description(必须是博士及以上的学历)
Location：shanghai / Dalian
job description as below:
We are looking for scientists who are passionate about data and want to apply machine learning techniques to solve real-world problems for enterprises and public sector organizations.
You will help develop capabilities for predictive modeling, text and image mining, recommendations, clustering, anomaly detection, forecasting methods, deep learning and other advanced statistical techniques. You will work on all aspects of the design, development and delivery of machine learning enabled solutions including problem definition, data acquisition, data exploration and visualization, feature engineering, experimenting with ML algorithms, evaluating and comparing metrics, deploying the models, iteratively improving the solution, building the tools for this process etc.
You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and various formats including tabular, image/video, audio, text and time series. In this role, you will interact with a team of experts in machine learning, distributed systems, program management and partner product teams, on the vision, scenario/feature planning, execution and delivery of scalable solutions as a cloud service.

Responsibilities
? Collaborate with end customer and internal cross-functional stakeholders to understand their business needs. Formulate a roadmap of project activity that leads to measurable improvement in business performance metrics/key performance indicators (KPIs) over time.
? Conduct end-to-end analysis that includes data gathering and requirements specification, analysis, ongoing scaled deliverables and presentations.
? Architect, develop and automate Business Intelligence (BI) and analytics solutions. Iteratively build and prototype dashboards to provide insights at scale.
? Make business recommendations (cost-benefit, invest-divest, forecasting, impact analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
? Develop comprehensive understanding of data structures and metrics, advocating for changes where needed.

Qualifications
Python必须用过，R 用过更佳，应届博士毕业个人素质好的亦可以考虑。
? A PhD in an data-related discipline.
? Previous experience as a Project Leader or Project Scientist for data-driven projects, or demonstrated potential from other leadership roles to assume such a role.
? Demonstrated knowledge of data services and/or previous research experience involving extensive use of such services.
? Ability to engage and build relationships across a range of stakeholder groups and technical project teams.
? The ability to work effectively as a member and leader of a regionally dispersed project team to provide the high level specifications, communications and science leadership needed to ensure that project deliverables are met.
Role Specific Characteristics May Include
? Background in Computer Science, Electrical Engineering, Statistics, Physics, Mathematics, Operations Research or equivalent technical field
? Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval.
? Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains.
? Software development skills in one or more high level languages (C#/C/C++/Java/F#), one or more scripting languages (Python/Perl/Shell), knowledge of R. Expertise any of the common ML tools (Weka, R, RapidMiner, KNIME, Scikit Learn, SAS, SPSS, ModelBuilder etc.) is a plus.
? Ability to build production grade machine learning enabled solutions end to end.
? Ability to build production grade artificial intelligence enabled solutions end to end. 举报 分享

Orange Tree Consultancy is an international Investment Holding company representing a group of companies in the software & services sector and telecom sector. Our clients are now embarking their long-term growth strategy in China and are seeking the following professionals to be part of their Organization in China.