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Waliku Data Scientist- Volunteer

2 weeks ago

Singapore Save the Children Full time

**The Opportunity**

Waliku is a Save the Children technology team that provides bespoke solutions for digital data capture and analytics on learner education and well-being. Since inception in 2016, Waliku has grown from a proof-of-concept study and pilot to supporting Save the Children projects in multiple sites globally. At Waliku we provide technology for development (T4D) solutions, which include a suite of digital tools, analytics, an accompanying implementation toolkit and value-added services. In doing so, we expect projects and particularly educators, be it in formal or non-formal schooling, can recognize and address gaps in learner attendance, education progression, health and well-being in a timely manner.

End users of our tools include project office staff, frontline workers, or counterparts in the community
- district education officers, school supervisors, school principals / administrators, teachers, community educators, parents and caregivers. In connecting various stakeholders digitally, we also facilitate communication and coordination between them to meet children’s right to education, well-being and achieving their fullest potential.

**Key Responsibilities**

The Waliku team is seeking a Data Scientist to assist with predictive analytics, machine learning (ML) and possible use cases of artificial intelligence (AI).
- Identification of suitable platforms for predictive modelling (e.g. SPSS, Excel, AI platforms) that can be integrated with Waliku products.
- Testing of previous predictive modelling approaches.
- Recommendations for deployment of findings (e.g., Jupyter Notebooks, Power BI Dashboards)
- Explore which ML/AI approaches can best be applied to Waliku data (e.g., random forests, support vector machines, neural networks).
- Summarize and communicate the results of this analysis in written reports, as well as dashboards.
- **Assist the team with data modelling, data cleaning and data retrieval**
- Data modelling includes star/snowflake schemas, as well as possible use of noSQL databases.
- Data retrieval includes API queries, MS Connectors and SQL queries.

**Qualifications, Skills and Experience**

**Requirements**:

- Intermediate experience with SQL queries and basic experience with a relational database management software - such as Microsoft SQL Server or PostgreSQL
- Basic to intermediate project management experience - including diagramming tools such as MS Visio or Mural
- Strong writing and communication skills
- Experience with Python, Pandas, Git, Excel and Google Analytics.
- Experience working with large datasets (including trouble shooting approaches).
- Strong knowledge of ML/AI technologies, predictive modelling and data transformation/cleaning procedures.
- Statistical analysis experience - including linear and logístical regression
- Strong understanding and skills in ethics, data confidentiality, database management and data security.
- Fluency in written and spoken English
- Strong task management, communication and organizational skills
- Experience in data science projects, with roles in qualitative and quantitative research and data analytics.

**Additional Assets**
- Experience researching and developing MEAL indicator frameworks
- Intermediate experience with dimensional data models and basic experience with relational data models
- Contributions to reports and articles
- Data visualization knowledge and skills using software such as Power BI or Tableau
- Experience with Power BI Desktop - including DAX expressions, Power Query and data visualizations (experience with M Formula language also preferred).
- Basic to intermediate experience with web-based Power BI tools - including Dataflows, Datamart, Datasets, Row-level Security and Embedded Reports
- Advanced skills in use of multiple software related to data collection, cleaning and analyses, both for quantitative and qualitative studies
- Knowledge of cloud computing using platforms such as Azure and its analytic capabilities with machine learning/ AI
- Knowledge and/or experience using various digital systems that use old, current or new technology for education and health

**Behavioural Competencies**:

- A commitment to high quality of work and efficiency.
- Commitment to and understanding of Save the Children’s aims, values and principles including rights-based approaches.
- Low resistance to change.
- Problem-solving ability
- Concern for detail.
- Interest and passion to develop knowledge and skills in the area of child rights

**The Organisation**

We employ approximately 25,000 people across the globe and work on the ground in over 100 countries to help children affected by crises, or those that need better healthcare, education and child protection. We also campaign and advocate at the highest levels to realise the right of children and to ensure their voices are heard.

We are working towards three breakthroughs in how the world treats children by 2030:

- No child dies from preventable