Job Posting Organization: The World Resources Institute (WRI) is an independent, nonprofit global research organization founded in 198
It focuses on addressing critical environmental challenges and improving human well-being through innovative solutions. With a global staff of over 1,800, WRI operates in more than 60 countries, including offices in Africa, Brazil, China, Europe, India, Indonesia, Mexico, Colombia, and the United States. The organization aims to tackle seven major challenges: climate change, energy, food, forests, water, sustainable cities, and the ocean. WRI is dedicated to delivering high-quality research, data, maps, and analysis to solve pressing environmental and development issues, working collaboratively with leaders in government, business, and civil society to drive impactful change. WRI Indonesia, established in early 2014, builds on WRI's decade-long history in the country, focusing on sustainable management of natural resources and expanding its presence to enhance its impact.
Job Overview: The scientist" style="border-bottom: 1px dotted #007bff !important;">Data Scientist position at WRI Indonesia is designed to leverage data to support evidence-based decision-making across the organization. The role involves data collection, cleaning, analysis, and visualization, as well as developing dashboards and reports that translate complex data insights into actionable recommendations for stakeholders. The Data Scientist will also be responsible for creating user-centered products that align with WRI Indonesia's commitment to impactful environmental solutions. This position requires collaboration with a multidisciplinary team and support from other workstreams within the Data Lab Indonesia, ensuring a comprehensive approach to data-driven initiatives. The role emphasizes the importance of integrating equity into the workplace and organizational culture, in line with WRI's commitment to diversity, equity, and inclusion.
Duties and Responsibilities: The Data Scientist will engage in various tasks, primarily focusing on data engineering, innovation, and system integration, which constitutes 80% of the role. Responsibilities include conducting data collection, cleaning, transformation, and integration from diverse sources to ensure high-quality datasets for analysis. The Data Scientist will apply statistical and machine learning techniques to extract meaningful insights and develop predictive models that support organizational objectives. Additionally, the role involves developing and maintaining data visualization tools, dashboards, and reports to effectively communicate analytical findings to stakeholders. The Data Scientist will implement and optimize algorithms to enhance data processing efficiency and predictive accuracy, support the development of data infrastructure and pipelines, and ensure compliance with data privacy and security" style="border-bottom: 1px dotted #007bff !important;">security-policies" style="border-bottom: 1px dotted #007bff !important;">security policies. The remaining 20% of the role focuses on program management, which includes collaborating with cross-functional teams to understand project needs, providing technical support and training on data analysis best practices, participating in knowledge-sharing initiatives, and staying updated with advancements in data science and machine learning.
Required Qualifications: Candidates must possess a Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, with a Master’s degree preferred. A minimum of 3 years of experience in data science, data analytics, or a similar role is required. Applicants should have a solid methodological grounding in indicator development, measurement, and reporting, along with proficiency in programming languages related to data collection and management, such as STATA, Python, R, and SQL. Experience with machine learning libraries and frameworks like TensorFlow, Scikit-learn, and PyTorch is essential. Candidates should demonstrate in-depth knowledge of mathematical and quantitative reasoning, experience in creating advanced machine learning models, and a minimum of 2 years of experience in building data visualizations using tools like Tableau, Power BI, and Flourish. A generalist knowledge of data visualization libraries and packages is also necessary, along with strong analytical and organizational skills, and the ability to communicate effectively in a remote development environment.
Educational Background: The educational background required for this position includes a Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is preferred, indicating a higher level of expertise and understanding of complex data analysis and modeling techniques.
Experience: The position requires a minimum of 3 years of relevant experience in data science, data analytics, or a similar role. Candidates should have a proven track record of applying statistical and machine learning techniques to real-world problems, as well as experience in developing data visualizations and dashboards that effectively communicate insights to various stakeholders.
Languages: While the job description does not specify mandatory languages, proficiency in English is likely essential for effective communication within the organization and with external stakeholders. Knowledge of Bahasa Indonesia may also be beneficial given the local context of the position.
Additional Notes: This is a part-time, limited-term individual consultancy contract with a duration from May 1, 2025, to December 31, 202
The consultant will be compensated on a daily rate basis, with a maximum of 162 working days for the entire contract period, averaging 18 working days per month. The position requires the consultant to have authorization to work in Indonesia. Travel insurance will be provided for any travel duties assigned by WRI Indonesia. Candidates may be required to take a writing test and provide two writing samples during the selection process. The application deadline is set for 1700 (DKI Jakarta local time) on April 18, 2024, with the possibility of closing earlier if suitable candidates are identified.
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