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The UNITED NATIONS DEVELOPMENT PROGRAMME has issued a Tender notice for the procurement of a Data Scientist for SDG Innovation Lab in the Armenia. This Tender notice was published on 11 Jan 2018 and is scheduled to close on 14 Jan 2018, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 19508842, while the tender notice number is and Registering on the platform.
Procurement Summary
Country: Armenia
Summary: Data Scientist for SDG Innovation Lab
Deadline: 14 Jan 2018
Posting Date: 11 Jan 2018
Other Information
Notice Type: Tender
TOT Ref.No.: 19508842
Document Ref. No.:
Financier: United Nations Secretariat
Purchaser Ownership: -
Tender Value: Refer Document
Purchaser's Detail
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Login to see detailsTender Details
Tenders are invited for Data Scientist for SDG Innovation Lab.
Background
In September 2015, the Government of Armenia (GoA), along with governments of all other member states of the United Nations, signed on to Agenda 2030 and its 17 Sustainable Development Goals (SDGs). This marked an important milestone for Armenia reform agenda towards leaving no one behind.
The complexity and interconnectedness of SDGs require novel approaches, methodologies, strong data systems, and institutions that would have the capacity to provide ‘out of the box- solutions to emerging challenges. In 2017, the world-s first National SDG Innovation Lab was established in Yerevan, through which many of these solutions will be developed and delivered.
Data Analytics is chosen as one of the four service lines of the SDG Lab. We strive to apply big data mining, predictive analytics and machine learning tools and utilize various sources of data (for instance, business, administrative, social media and so on) to solve various policy challenges that hinder the development of the Republic of Armenia. Our ultimate goal is to accelerate the SDG implementation in the Republic of Armenia and contribute to the Agenda 2030. The, Armenia National SDG Innovation Lab is looking for a Data Scientist which will have a substantial contribution to the operations of the Lab.
Duties and Responsibilities
The incumbent, under the direct supervision and guidance of the SDG Lab Lead, overall supervision and endorsement of the SDG Barometer Task Force, in close cooperation with involved stakeholders and other technical teams, shall perform the following responsibilities:
· Conduct in-depth investigations leveraging large and complex data sets using advanced statistical methodologies and tools.
· Write machine learning algorithms to perform text mining of various sources and documents
· Research and identify the best cases of the application of data mining, predictive analytics and machine learning tools for policymaking worldwide
· Research the data ecosystem of the Republic of Armenia and suggest an action plan for advancing the data analytics service line.
Competencies
· Exceptional communication skills, in order to explain technical concepts and the implications clearly to a wide and non-technical audience and to translate policy objectives into actionable analyses.
· Ability to understand and creatively solve problems that span statistics, technology, and policymaking.
· Ability to work independently with minimal supervision;
· Self motivation and resourcefulness
· Effective in quality assurance, working with teams, and time management
· Ability to think strategically while focusing on details and delivery process
· Keen creating solutions that will contribute to the development agenda of the Republic of Armenia
· Open to criticism from the team and the ability to criticize the work of the others in a constructive manner.
· Eager to learn and share knowledge
· Ability to deal with pressure and overcome obstacles in startup like environment
Required Skills and Experience
Education:
· Master-s degree in Computer Science, Statistics, Mathematics, or a related technical field.
Experience:
· At least 1 year of statistical modeling and/or machine learning experience.
· Experience with large data sets, data mining, clustering, forecasting, deep learning and distributed algorithms is highly desirable.
· Strong coding and scripting skills. Proficiency in R, Python, Matlab or other related software package is strongly required.
· Portfolio of previous projects is a strong plus.
Languages:
· Excellent written and spoken Armenian, English. Russian is an asset.
NDIVIDUAL CONSULTANTS WILL BE EVALUATED BASED ON THE FOLLOWING METHODOLOGY:
Candidates will be evaluated using a cumulative analysis method taking into consideration the combination of the applicants` technical qualifications, experience and financial proposal. The contract will be awarded to the individual consultant whose offer has been evaluated and determined as technically responsive/compliant/acceptable to the requirements of the ToR and received the highest cumulative (technical and financial) score out of below defined technical and financial criteria.
Only candidates obtaining a minimum of 49 points in the technical evaluation would be considered for financial evaluation.
Technical Criteria - 70% of total evaluation - max. 70 points
Financial Criteria - 30% of total evaluation - max. 30 points.
DOCUMENTS TO BE INCLUDED WHEN SUBMITTING THE APPLICATION.
· UNDP Personal History form (P11): http://www.undp.org/content/dam/undp/library/corporate/Careers/P11_Personal_history_form.doc.
· Financial Proposal and Availability form : OFFEROR-S LETTER TO UNDP
General Conditions of Contract is available here: http://www.undp.org/content/dam/undp/documents/procurement/documents/IC%20-%20General%20Conditions.pdf.
Note: Please note you can upload only one document to this application (scan all documents in one single PDF file to attach).
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.
Documents
Procurement Documents for Armenia
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