The Ugandan Jobline

Job Title:   Data Science Fellow/ Associate (No Experience)

Organisation: UpEnergy

Duty Station:  Kampala, Uganda

About US:

UpEnergy is at a time of exciting growth, and rapidly expanding into new geographies and new product categories. As part of this growth, we are looking to build and execute commercial best practice across all our markets ranging from the much developed markets to our very nascent markets.

Job Summary: UpEnergy seeks a Data Science Fellow or Associate familiar with behavioural science and impact evaluation to enhance our ability to design and execute tests of products, distribution methods, and communications to improve interactions and outcomes for the users of our products.  UpEnergy runs both large scale distribution, and tests and pilots across 7 African markets and will expand to new markets and products in the coming years. In order for UpEnergy to generate the maximum possible impact, we constantly seek new methods to increase adoption and usage of our products. The Data Science Fellow or Data Science Associate will also partner with reseachers to facilitate the implementation of Randomized Controlled Trials (RCTs) on UpEnergy interventions.  As Data Science Fellow or Data Science Associate, you will have the exciting opportunity to design and execute tests and trials to continuously improve the efficacy of interventions and products we deploy in households and schools across Africa and soon on other continents. The ideal candidate will possess a deep understanding of continuous testing and optimization methodologies including A-B testing frameworks to deliver actionably, statistically significant insights. You’ll be using data science to tackle one of the world’s most pressing challenges – alleviating energy poverty and ensuring that a climate transition helps those most affected by climate change.

Key Duties and Responsibilities:

• Design and develop continuous testing and optimization methodologies including A-B testing frameworks to drive the continuous testing of hypotheses and evaluation of interventions and treatments
• Collaborate with in country teams to identify suitable research questions and objectives for implementing interventional tests and pilots
• Work with implementation teams to design testing, sampling, data collection, protocols that balance experiment quality and feasibility of implementation
• Build and support a culture of smart experimentation with UpEnergy and partner organizations such as Community Carbon
• Identify and mitigate potential biases and confounding factors in experiment design.
• Develop and implement statistical analyses for evaluation and inference in experiments.
• Collect, clean, and process datasets for experiments using appropriate software tools.
• Collaborate with the field team to ensure high quality implementation of experiment protocols and procedures and to rapidly response to inevitable issues and errors
• Conducting literature reviews and staying up to date with relevant research advancements in the clean cooking, safe water, and other relevant focal areas.
• Documenting experimentation methodologies, procedures, and findings for internal and external stakeholders.
• Develop an internal strategy for rigorous, powered, and publishable RCTs including serving as principal inves
• Support the design and development of randomized controlled trials (RCTs) with leading global academic micro-economists
• Analyzing and interpreting RCT data to drive the global conversation on clean cooking and provide actionable insights and recommendations.
• Publish and communicate the results of evaluations and RCTs
• Support the design and developing randomized controlled trials (RCTs) to test hypotheses and evaluate interventions or treatments
• Conducting data audits and quality assurance checks on collected data.
• Analyzing and interpreting RCT data to draw actionable insights and recommendations.
• Publish and communicate the results of evaluations and RCTs

Qualifications, Skills and Experience:

• Degree in Data Science, Statistics, Economics, Data Driven Marketing, or similar
• Experience with statistical software packages, Open Data Kit and/or Salesforce preferred
• Ability to communicate effectively with field teams in Sub-Saharan Africa to design and implement trials
• Strong desire to work on climate justice and climate solutions in low income contexts
• Experience and knowledge of developing rigorous RCTs
• Living in Africa or willingness to relocate for a key period of time
• Fluent English

How to Apply:

All suitably qualified and interested candidates should apply online at the link below.

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