The Waliku team is seeking a Data Scientist to assist with predictive analytics, machine learning (ML) and possible use cases of artificial intelligence (AI).
- The exploration and application of predictive models to Waliku project data
- 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)
- The exploration and application of ML/AI technologies to Waliku project data.
- 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 logistical 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
