Data Scientist

ABOUT YOU

MINIMUM QUALIFICATIONS AND EXPERIENCE REQUIREMENTS:

• Bachelor’s degree in data science or related field with 5 years of experience or equivalent master’s degree in the same field with at least 2 years of experience.
• At least 2 years of professional experience with machine learning, neural networks / deep learning and statistics is a requirement, as is experience handling large databases for modelling and data analysis.
• Advanced R programming skills: programming expertise in other languages (Python) and cloud- based computational environments such as Google Earth Engine are an asset.
• Familiarity with data visualization methods and interactive dashboards (e.g., R shiny apps) is highly desirable.
• Demonstrated expertise with spatial data and spatial modelling; experience with remote sensing, geostatistics, and/or spatial econometrics are an asset.
• Demonstrated expertise in machine learning prediction methods, as well as other branches of applied statistics, are essential; knowledge of econometrics is a strong asset.
• Ability to integrate data from multiple sources (e.g., open data, crowd-sourcing, and remote sensing).
• Prior experience with collection, assembly, processing and visualization of large datasets to describe population demography and socio-economic factors.
• In-depth knowledge about GIS data formats like shapefiles, and geospatial exchange data formats such as GeoJSON, KML e.t.c.

SKILLS AND KEY COMPETENCIES:

• Training in data science, geographic information science, computer programming, statistics or other relevant methods in the context of interpolating, extrapolating, disaggregation and prediction of data.
• Strong oral and written communication skills to provide clarity to staff, stakeholders, and contractors – all of whom may have very low to very high ranges of technical expertise.
• Unquestionable integrity, open inclusivity, culturally aware and respectful.
• You must also be able to demonstrate a genuine interest in and commitment to the field

WHAT YOU WILL DO

Reporting to the Location Analytics Director and Senior Location Analytics Executive, you will be tasked with the successful implementation of the deliverables undersigned to the project.

Key Responsibilities:

• Assessing the current methodology and project the national census variables updating it to the current date and extrapolate to the future.
• Disaggregate the census information to the smallest possible administrative unit/grid.
• Assessing the livelihood impact of electricity and predicting poverty using satellite imagery and household surveys].
• Acquisition, processing, modelling, quality control, integration, and management of spatial and tabular data, coordinating data delivery.
• Maintain scientific credibility through applied research, peer reviewed publications, and collaboration with diverse research partners/users.
• Automate and document analytical routines and contribute to capacity development of Location Analytics as needed.
• Ensuring that risks management are considered in the delivery of the assigned duties and responsibilities.
• Improve our data science pipelines.
• Stay up to date with the most recent literature on data science specifically in data interpolation, data extrapolation and predicting new data through modelling.
• Other tasks as assigned as relevant to expertise and ongoing or future projects.