Nairobi, Nairobi County, Kenya | Risk | Full-time


Greenlight Planet is a multinational, for-profit business that designs, distributes, and finances solar-powered home energy products, with an underserved population in mind: the 1.3 billion global consumers for whom the old-fashioned electrical grid is either unavailable or too expensive.  

Over a decade in business, the company is now a leading global brand in emerging markets across Asia and Sub-Saharan Africa. Greenlight’s Sun King™ products provide modern light and energy to 32 million people in more than 60 countries and have sold over 10 million products worldwide.

From the company’s wide range of trusted Sun King™ solar lamps and home energy systems, to its innovative distribution partnerships, to its EasyBuy™ pay-as-you-go consumer financing model, Greenlight Planet continuously strives to meet the evolving needs of the off-grid market.

Greenlight stays in touch with underserved consumers’ needs in part by operating its own direct-to-consumer sales network, including thousands of trusted sales agents (called “Sun King Energy Officers”) in local communities across local communities. For Sun King Energy Officers, this is not only a good source of income and employment but also they become an important member of their community bring light and catering to local energy needs within their communities.  

Today, with over 1100 full-time employees in 8 countries, we remain continuously impressed at how each new team member contributes unique and innovative solutions to the global off-grid challenge, from new product designs to innovative sales and distribution strategies, to setting up better collection mechanisms, to better training strategies, to more efficient logistical and after-sales service systems.  We listen closely to each other to improve our products, our service, and ultimately, the lives of underserved consumers.


Key responsibilities for the role:

  • Providing technical support to ensure analyses are mathematically accurate
  • Applying classical and Bayesian statistical techniques in inference and forecasting, multiple comparisons, and longitudinal analysis
  • Analyzing and interpreting large volume of data to identify trends, gaps, and inconsistencies
  • Developing new mathematical models to improve understanding of in-house data
  • Providing support to the data science team and clients by responding to ad-hoc data requests, answering questions, and providing advanced technical support and analysis
  • Turning data into insight and communicating findings effectively
  • Providing capacity building to increase mathematical capability across the company
  • Attending 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 Ph.D. 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

We are looking for someone who is driven, passionate and excited about the opportunity to bring honest, affordable, energy to homes in Africa and Asia.  If this sounds like you, we would love to hear from you.

Greenlight Planet offers competitive compensation, a fun, supportive work environment, and opportunities for continued professional growth within a fast-growing global enterprise. 

We seek to foster our team's diversity, in terms of culture and life experiences.  We especially encourage women, sexual and gender minorities, people with disabilities, and members of other underrepresented groups to apply.  We do not discriminate on the basis of race, color, religion, sex, marital status, sexual orientation, national origin, HIV/AIDS status, or disability.