Consultant as Data Scientist
WRI Indonesia |
Jakarta |
ID
Program Overview The Data Lab Unit aims to establish a leading hub for open-source data, code, and visualizations, fostering data democratization and collaboration among NGOs and development partners. By addressing critical challenges such as unsustainable data platform management strategies, technical inconsistencies, and high employee turnover, the unit will ensure the long-term sustainability and impact of WRI Indonesias platforms. This initiative transforms grant-dependent outputs into powerful tools for driving positive change in climate resilience, social equity, and nature conservation across Indonesia and Southeast Asia. Aligning with WRIs strategy, the Data Lab Unit promotes systemic, data-driven solutions, transitioning WRIs approach from isolated project delivery to broader systems change while enhancing institutional capabilities and addressing financial sustainability gaps to create scalable, impactful initiatives. Job Highlight Data Scientists role will focus to leverage data to support evidence-based decision making across the organization. The key responsibilities include on data collection, cleaning, and analysis; data visualization; developing dashboard; and creating reports that translate complex data insight into actionable recommendation for all stakeholders. Additionally, this position is expected to develop models and tools to enabling evidence-based decision-making. The Data Scientist will contribute in creating user-centered products that reflect WRI Indonesias commitment to impactful environmental solutions. Through this role, the individual will ensure the development and maintenance of high-quality products that align with user needs and organizational goals. Working under direct supervision of Senior Lead for Data Engineer and Innovation, the post holder will work collaboratively with a multidisciplinary team and will getting support from other workstream within Data Lab Indonesia to ensure a comprehensive approach. The position will be based in Jakarta with office-flex working arrangement and travel requirement as assigned. In support of WRIs DEI commitment, you are responsible for actively participating in these collaborative efforts by integrating equity into your work, our workplace, and the organizational culture. What You Will Do Data Engineering, Innovation and System Integration (80%)
- Conduct data collection, cleaning, transformation, and integration from various sources to ensure high-quality datasets for analysis.
- Apply statistical and machine learning techniques to extract meaningful insights and predictive models that support organizational objectives.
- Develop and maintain data visualization tools, dashboards, and reports to effectively communicate analytical findings to internal and external stakeholders.
- Implement and optimize algorithms to enhance data processing efficiency and predictive accuracy.
- Support the development of data infrastructure and pipelines to ensure scalability and reliability in data processing.
- Ensure compliance with data privacy, security policies, and ethical considerations in handling sensitive data.
- Collaborate with cross-functional teams to understand project needs, design data-driven solutions, and contribute to strategic planning.
- Provide technical support and training to other teams on data analysis best practices and tool utilization.
- Participate in knowledge-sharing initiatives and contribute to the institutions data governance and innovation efforts.
- Stay up to date with advancements in data science, machine learning, and industry trends to continuously improve analytical capabilities.
- Develop and maintain documentation for data analysis best practices and tool utilization to support team operations and knowledge transfer.
- Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Masters degree is preferred.
- Minimum 3 years of experience in data science, data analytics, or a similar role.
- Solid methodological grounding in matters of indicator development, measurement, supporting data evidence (sources, collection, analysis), and reporting (including dashboards).
- Proficiency in programming languages related to data collection, data management, and statistical software/programming (e.g. STATA, Python, R, SQL). with experience in machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
- In-depth knowledge and skill in mathematical and quantitative reasoning.
- Experience creating and using advanced machine learning models (supervised, unsupervised, semi-supervised, and reinforcement learning) and statistics (e.g. statistical tests, distributions, regression, maximum likelihood estimators, etc.).
- Minimum 2 years of experience building data visualizations with an understanding of the appropriate chart types to use to highlight patterns in the data;
- Proficiency in using Tableau, Power BI, Flourish and/or data visualization tools.
- A generalist with working knowledge of data visualization libraries and packages used today: Python (Seaborn, Bokeh, Kepler.gl), R (ggplot2, r2d3) and JavaScript (D3.js, Vega, Plotly) etc.
- Demonstrated ability to seek out, collate, and synthesize inputs from across sectoral and thematic boundaries.
- Business proficiency in verbal and written communication, and in working collaboratively with a variety of colleagues and clients in a remote development environment;
- Strong analytical and organizational skills;
- Eagerness to learn, to help, to share knowledge;
- Ability and willingness to travel when needed
- Legally able to work in Indonesia.
- Automate data collection processes, achieving a 90% reduction in manual data entry errors, and ensuring at least 80% accuracy and completeness in data preprocessing, cleaning and transformation
- Develop and deploy a minimum of two predictive models that achieve a model accuracy rate of 80% or higher on validation datasets per quarter that improve program metrics and insight
- Develop and maintain at least three interactive dashboards or analytical reports per quarter
- Enhance and automate data pipelines to reduce processing time by at least 20% within the first six months
- Conduct at least two training sessions or knowledge-sharing workshops per quarter to support internal capacity-building efforts
- Maintain 100% adherence to data governance, security, and privacy policies in all data handling activities
- Consultant rate that is commensurate with experience and skills
- Travel insurance for both domestic and international for any travel duty as assigned by WRI Indonesia
- Access to the WRI global network
- A workplace that strives to put diversity and inclusion at the heart of our work
Information :
- Company : WRI Indonesia
- Position : Consultant as Data Scientist
- Location : Jakarta
- Country : ID
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Post Date : 2025-04-08 | Expired Date : 2025-05-08