UNDP Jobs - 33435- 33435 - Data Scientist (For Indonesian Nationality

33435 - Data Scientist (For Indonesian Nationality only) - Jakarta, Indonesia

Location :

Jakarta, INDONESIA

Type of Contract :

Service Contract

Starting Date :

Application Deadline :

22-Nov-12 (Midnight New York, USA)

Post Level :

SC-9

Duration of Initial Contract :

Languages Required :

English

Expected Duration of Assignment :

12 months

UNDP is committed to achieving workforce diversity in terms of gender, nationality and culture. Individuals from minority groups, indigenous groups and persons with disabilities are equally encouraged to apply. All applications will be treated with the strictest confidence. UNDP does not tolerate sexual exploitation and abuse, any kind of harassment, including sexual harassment, and discrimination. All selected candidates will, therefore, undergo rigorous reference and background checks.

Background

1. PROJECT BACKGROUND
Global Pulse is an innovation initiative in the Executive Office of the United Nations Secretary-General, harnessing today's new world of digital data and real-time analytics to gain a better understanding of changes in human well-being. Global Pulse hopes to contribute a future in which access to better information sooner makes it possible to keep international development on track, protect the world's most vulnerable populations, and strengthen resilience to global shocks. Global Pulse is being implemented as a global network of Pulse Labs, bringing together expertise from UN agencies, governments, academia, and the private sector to research, develop, test and share tools and approaches for harnessing real-time data for more effective and efficient policy action.

Pulse Lab Jakarta
Global Pulse is establishing a Pulse Lab in Jakarta in 2012 in partnership with the Government of Indonesia. Pulse Lab Jakarta will function as an open innovation space where policy experts together with UN development practitioners and other partners can experiment with new types of data and emerging technologies and evaluate their potential to enhance both public policy decision-making and community resilience. Following the development of useful approaches, Pulse Lab Jakarta will support institutional adoption of these innovations into policy and practice.

2. WORKING RELATIONSHIPS
Under the supervision of the Pulse Lab Project Manager, reporting to the Technical Team Leader and working closely with the Data Engineer and Research Project Officer, the Data Scientist will apply data mining techniques (anomaly detection, association learning, cluster detection, classification, and predictive modeling) to create actionable insights from a broad range of structured and unstructured data that is growing rapidly in scale. The Data Scientist will be responsible for the acquisition, analysis and visualization of data from a variety of sources in order to i) help understand emerging human vulnerabilities to socio-economic shocks, ii) detect and highlight patterns that could indicate how people are coping with emerging hardship, and iii) gather evidence of changes in behavior and perception correlated with public sector policies and programmes.

Duties and Responsibilities

Duties and Responsibilities
1. Manage and supervise design and implementation of the project to ensure effective achievement of the following results:
• Comprehensive Design and implementation of research projects harnessing Big Data to improve both understanding of population behavior, needs, and vulnerabilities as well as capacity to monitor and evaluate the impacts of development polices and programmes;
• Perform data studies and data discovery around new data sources or new uses for existing data sources;

2. Ensure implementation of Global Pulse strategies and introduction and implementation of new technologies, focusing on achievement of the following results:
• Development of new approaches to detecting events and trends within real-time data sources such as online media, social networks, imagery, geospatial data, communications logs, transaction records, etc.;
• Strategic advice on data utilization and interaction with data design;
• Comprehensive design and implementation of statistical data quality procedures around new data sources;

3. Manages data and reporting mechanism focusing on the achievement of the following results:
• Visualization and standardization of various data reporting formats
• Implement any software required for accessing and handling data appropriately;

4. Ensure facilitation of knowledge building and knowledge sharing, focusing on achievement of the following results:
• Effective coordination and joint data mining research projects with diverse partners;
• Networking and effective interaction with the global community through a variety of media.
• Identification and promotion of different systems and applications for optimal content management, knowledge management and sharing, information provision.
• Organization of training for the projects staff
• Synthesis of lessons learned and best practices directly linked to data management.
• Sound contributions to knowledge networks and communities of practice.

Competencies

Functional Competencies:

Building Strategic Partnerships
Level 1.2: Maintaining a network of contacts
- Maintains an established network of contacts for general information sharing and to remain up-to-date on partnership related issues

Promoting Organizational Learning and Knowledge Sharing
Level 1.2: Basic research and analysis
- Generates new ideas and approaches, researches best practices and proposes new, more effective ways of doing things
- Documents and analyses innovative strategies and new approaches

Job Knowledge/Technical Expertise
Level 1.2: Fundamental knowledge of own discipline
- Understands and applies fundamental concepts and principles of a professional discipline or technical specialty relating to the position
- Possesses basic knowledge of organizational policies and procedures relating to the position and applies them consistently in work tasks
- Identifies new and better approaches to work processes and incorporates the same in his/her work
- Analyzes the requirements and synthesizes proposals
- Strives to keep job knowledge up-to-date through self-directed study and other means of learning

Promoting Organizational Change and Development

Level 1.2: Basic research and analysis
- Demonstrates ability to diagnose problems and identifies and communicates processes to support change initiatives

Design and Implementation of Management Systems

Level 1.2: Research and analysis and making recommendations on management systems
- Maintains information/databases on system design features
- Develops simple system components

Client Orientation

Level 1.2: Establishing effective client relationships
- Researches potential solutions to internal and external client needs and reports back in a timely, succinct and appropriate fashion
- Organizes and prioritizes work schedule to meet client needs and deadlines
- Establishes, builds and sustains effective relationships within the work unit and with internal and external clients

Promoting Accountability and Results-Based Management
Level 1.2: Basic monitoring
- Gathers, analyzes and disseminates information on best practice in accountability and results-based management systems

Core Competencies:
- Demonstrating/safeguarding ethics and integrity
- Demonstrate corporate knowledge and sound judgment
- Self-development, initiative-taking
- Acting as a team player and facilitating team work
- Facilitating and encouraging open communication in the team, communicating effectively
- Creating synergies through self-control
- Managing conflict
- Learning and sharing knowledge and encourage the learning of others. Promoting learning and knowledge management/sharing is the responsibility of each staff member.
- Informed and transparent decision making

Required Skills and Experience

Education:

Masters degree in statistics, applied mathematics, physics, computational finance, economics, computer science, engineering or other related technical disciplines with 3 years of relevant working experience. A first degree and 7 years relevant experience may be accepted in lieu of the higher university degree.

Experience:

• Familiarity with analytical techniques such as text mining, sentiment analysis, predictive analysis, event detection, and modeling of complex systems;
• At least three years of experience in analysis and data visualization;
• Familiarity with analytical techniques such as text mining, sentiment analysis, predictive analysis, event detection, and modeling of complex systems;
• Experience in a branch of computational informatics (development, health, bio-, geo-, etc), using machine learning
• Experience working with Big Data, social network data, and geospatial data/satellite imagery; and
• Experience analyzing data from social monitoring systems, monitoring and evaluation work, or other survey work in developing countries would be highly desirable
• Experience writing research proposals, scientific articles and technical reports;
• Familiarity working with quantitative and qualitative data;
• Experience with scripting, coding, and web design required for data access, analysis, and presentation;
• Demonstrated experience presenting work to both technical and non-technical audiences;
• Willingness to evaluate and adopt the latest advances in Artificial Intelligent (AI), machine learning, predictive analysis and visualization.

Language Requirements:

• Fluent in English and Bahasa. (both oral and written)

APPLICANT MUST COMPLETE P11 FORM AND SUBMIT AS PART OF THEIR APPLICATION . Click here to down load the form P11 Female candidates are encouraged to apply

UNDP Indonesia reserves the right to select one or more candidates from this vacancy announcement.We may also retain applications and consider candidates applying to this post for other similar positions with UNDP Indonesia at the same grade level and with similar job description, experience and education requirements