Greenlight Planet – Statistician.

Overview of the Company

Greenlight Planet designs, distributes and finances Sun King solar home energy solutions to households and businesses who lack reliable access to the grid. Since its founding in 2008, the company has become a leading global provider of solar home energy products to over 45 million rural consumers in collaboration with 300 partners across the world. Throughout the last decade, the company has grown steadily, building expertise in developing high-quality solar-powered home energy solutions, product distribution in more than 40 countries in Asia, Sub-Saharan Africa, and Central America, and consumer financing through its unique ‘pay-as-you-go’ (PAYG) technology. 

 Greenlight Planet continuously strives to meet the evolving needs of the off-grid market. Its wide range of trusted Sun King solar lamps and home energy systems deliver high performance and long shelf life. Greenlight Planet’s innovative pay-as-you-go technology, EasyBuy allows customers to pay for Sun King products in small instalments over time making solar energy affordable even for consumers with limited savings. The Sun King EasyBuy range was designed to address the challenges of consumer affordability: leveraging its unique PAYGO technology, Greenlight can afford end consumers the option to pay for their solar energy solutions through a longer-term instalment plan. Through this offering, consumers receive an ‘unlock token’ with each regular, incremental payment enabling their system to work for a period of time. Once they complete the series of payments, the final token perpetually unlocks the system, freeing up previous energy spend as household savings.

• Provide technical support to ensure analyses are mathematically sound
• Applying classical and Bayesian statistical techniques for inference and forecasting, multiple comparisons, and longitudinal analysis
• Analyze and interpret large amounts of data to identify trends, gaps, and inconsistencies
• Develop new mathematical models to improve understanding of in-house data
• Provide support to the data science team and clients by responding to ad-hoc data requests, answering questions, and providing advanced technical support and analysis
• Turn data into insight and communicate your findings effectively
• Provide capacity building to increase mathematical capability across the company
• Attend occasional late-night and early-morning meetings with colleagues around the world

The ideal candidate has:

• Bachelor’s Degree in Statistics, Operation Research, Econometry or a similar quantitative field with 3 years of relevant professional experience. Masters degree with one year of relevant professional experience or PhD preferred
• Deep understanding of statistical analysis, you not only know how to apply the right hypothesis test, you understand the math behind it and can explain it in simple terms
• Professional experience using statistical packages (R, STATA, SPSS) to derive business insights
• Strong analytical, problem-solving, and time management skills
• Ability to learn quickly, initiate and drive projects to completion with minimal guidance
• Ability to thrive in a dynamic and fast-paced environment
• University academics strongly encouraged to apply
• Proficiency in Python a plus, in particular Data Science packages (numpy, pandas, Scikit-
• Learn, Tensorflow)
• Proficiency in SQL a plus
• Proficiency in Microsoft Excel a plus
• Experience using data visualization software such as Looker, Tableau, or Periscope a plus

Click Here to Apply on LinkedIn