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Senior Data Scientist (National Consultant)
|Location :||Home-based, PHILIPPINES|
|Application Deadline :||28-Sep-22 (Midnight New York, USA)|
|Type of Contract :||Individual Contract|
|Post Level :||National Consultant|
|Languages Required :||English|
|Starting Date :|
(date when the selected candidate is expected to start)
|Duration of Initial Contract :||66 working days spread over 9.5 months|
|Expected Duration of Assignment :||66 working days spread over 9.5 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.
In 2010, the Philippines automated its electoral process, paving the way to faster, more efficient counts administered by the Commission on Elections (COMELEC). However, COMELEC itself has yet to digitise its broader processes, and still collates and analyses much of the data in a manual fashion. As a result of this, senior leadership has had difficulty in making administrative and policy decisions which are driven by evidence, thus attenuating the effectiveness and responsiveness of public service.
While data can improve service delivery, it can also unlock the potential for innovative solutions emanating from wider civil society. Currently the academe, think tanks, and civil society organisations have struggled to access up-to-date and comprehensive datasets with which to study and develop responsive policy solutions and innovations.
A critical area wherein accurate, data-driven policies and solutions are needed is women’s political participation. Women leaders are still grossly underrepresented at 20.16%, with many of those who do occupy public office often being part of political dynasties, temporarily keeping the seat safe while their male family partners abide by the term limit regulations. According to the Philippine Commission on Women, it is clear that gender stereotypes, wherein women are considered as weak, emotional and indecisive discourage voters from voting for women candidates. At the same time, the “multiple burden” experienced by many women, whether they bear most of the responsibility for performing domestic duties while they engage in political, economic, and social activities discourages women themselves from preparing and running for political office. This is compounded by the preference of political parties or groups to finance male candidates who are perceived to have higher probabilities of winning the election.
These issues are expected to worsen given the physical distancing challenges brought by the COVID-19 pandemic. Indeed, the impact of travel restrictions, reduced physical mobility, and economic depression has meant that many women will struggle to effectively participate.
Data has huge potential to provide more visibility on barriers to women’s political participation; inform the design of responsive reforms or initiatives, as well as provide a compelling narrative for its advocacy and implementation. However, COMELEC has limited capacity to both monitor in real time the rate of voter registration, and has difficulty with analysing data for policy development, specifically gender-disaggregated data. Outside of the automated voting system, data gathering is predominantly manual, with some field offices sending compact disk drives to the central office due to poor internet connectivity, and data analysis done in an ad-hoc manner, often in response to a specific policy question or request for information. As such, COMELEC’s ability to analyse data and produce evidence-based policy, given the overwhelming use of data management in elections, needs strengthening.
Considering these issues, there is an urgent need to strengthen the digitalization capacity of COMELEC to ensure that it can develop data-driven and online solutions that can help promote women’s political participation, whether as leaders or as voters, in the new normal.
Duties and Responsibilities
Scope of Work
The Data Scientist will work with the UNDP Pintig Lab team on data analysis and reporting to provide insights for analytics and visualizations for policy research and the COMELEC public dashboard that COMELEC and its stakeholders would identify.
OUTPUT: COMELEC Data Analysis Guidance Document
The Consultant will work on analytics and visualizations for policy research, the COMELEC internal and public dashboards, and related data analysis that COMELEC and its stakeholders would identify. The Consultant will submit documentation reports that would summarize their inputs to data analytics that would include but not be limited to the following:
Expected Outputs and Deliverables
The consultant is expected to deliver the following outputs:
Governance and Accountability
Expected Duration of the Contract
The IC will be hired for 66 working days spread over 9.5 months beginning 15 September 2022 until 30 June 2023, unless revised in a mutually agreed upon timetable between the Consultant and UNDP.
Duty station is Metro Manila (Home-based). All work will be done remotely. Any travel outside of Metro Manila for this consultancy will be shouldered by UNDP.
In light of the COVID-19 pandemic , all work and travel of the Individual consultant shall be done within the guidelines and protocols set by the local and national government. Field work, trainings, meetings, and coordination shall be done in compliance with community quarantine policies. As long as the prevailing quarantine policies of the country allow, the Consultant is expected to attend in-person at least 60% of the meetings, workshops, and other events especially milestone project activities.
Scope and Price of the Proposal and Schedule of Payment
Excellent written communication and presentation/public speaking skills focus on results, ability to interact productively in a teamwork environment.
Required Skills and Experience
The Offers received will be evaluated using a combined scoring method - where technical proposal will be weighted 70 points and combined with the price offer which will be weighted 30 points.
The CV will be reviewed using the criteria in the table below. Only offerors who will obtain a
minimum of 70% or 49 out of 70 obtainable points will be shortlisted and eligible for evaluation of financial proposal.
Recommended Presentation of Offer
Offerors must upload in one (1) file the documents mentioned above.
Templates for a) P11 Personal History Form and b) Offeror's Letter to UNDP Confirming Interest and Availability and Financial Proposal (Annex 2) are available through the link below. UNDP General Terms and Conditions for Individual Contractors are also available:
Incomplete submission of required documents may result in disqualification.
Please see the deadline of submissions above.
Because of the volume of applications UNDP receives, only shortlisted offerors will be notified.