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Digital Green • Nairobi, Kenya
Role & seniority: Consultant - Experimentation & A/B Testing Specialist (FarmerChat)
Stack/tools: A/B/multivariate testing platforms (e.g., Firebase, Mixpanel, Optimizely); analytics; collaboration with product, gender research, country teams
Design, implement, and monitor tests across acquisition, onboarding, content presentation, and early engagement
Translate behavioral insights into hypotheses and structured experiments; synthesize results for product and messaging decisions
Create standardized testing methods (templates, guardrail metrics, measurement guidelines) and foster evidence-based iteration with an inclusion lens
5+ years in digital experimentation, behavioral science, user research, or growth analytics
Bachelor's degree (Master’s preferred)
Strong experimental design: hypotheses, measurement plans, interpreting effect sizes, decision rules
Experience running A/B or multivariate tests in mobile/web; ability to communicate findings to diverse audiences
Cross-functional collaboration (product, analytics, country teams); commitment to inclusive design
Experience in emerging markets/low-connectivity contexts with noisy data
Familiarity with experimentation platforms and guardrail metrics; sample-size planning
Ability to convert gender-related questions into clear, testable hypotheses; equity/inclusion-focused testing
Location & work type: Nairobi (primary)
Role: Consultant - Experimentation & A/B Testing Specialist (FarmerChat)
Location: Nairobi (Kenya- Primary location); Bangalore, India (Secondary location); Africa or Europe-based applicants will be considered
Duration: 12-month contract with possibility of extension or transition to a full-time role, subject to performance and funding. About Digital Green Digital Green is a pioneer global not for profit organization, utilizing digital platforms and community-driven approaches to amplify the voices of smallholder farmers and improve their livelihoods. Our mission is to create a world where farmers use technology and data to build prosperous communities. By harnessing the power of technology, we facilitate knowledge sharing, capacity building, and market linkages, enabling farmers to adopt sustainable agricultural practices and increase their productivity and income. We are dedicated to transforming the lives of under-served smallholder farmers worldwide through innovative technology solutions. Backed by leading philanthropic organizations such as the Bill & Melinda Gates Foundation (BMGF), Walmart Foundation, Rockefeller Foundation, other Private Foundations, and UK Foreign, Commonwealth & Development Office (UKFCDO), we are committed to leveraging data and technology (primarily FarmerChat) to empower smallholder farmers and strengthen agricultural extension systems. About FarmerChat FarmerChat is Digital Green’s AI-enabled assistant that helps smallholder farmers—especially women—access timely, trusted, and locally relevant advice on crops, livestock, and livelihoods. The platform is designed to build confidence, reduce barriers to participation, and offer actionable, locally grounded guidance in a way that feels intuitive and supportive. We are hiring an Experimentation & A/B Testing Specialist- Consultant to help us rigorously learn what drives engagement, trust, and sustained use—particularly for women and other groups historically excluded from agricultural advisory systems. You will turn behavioral insights into structured tests, run rapid experiments across acquisition, onboarding, and early product experiences, and help shape the evidence base for what makes AI-enabled advisory truly inclusive. What you’ll do Design, implement, and monitor A/B and multivariate tests across user acquisition, onboarding, content presentation, and early engagement experiences. Translate behavioral insights into clear hypotheses and structured experiments, working closely with product, gender research, country, and analytics teams. Measure experiment outcomes, interpret early behavioral signals, and produce concise recommendations that directly inform product design and messaging strategy. Create standardized testing methods—including templates, measurement guidelines, guardrail metrics, and decision rules—that can be used by teams across countries. Help establish a culture of evidence-based iteration within FarmerChat by documenting results, facilitating learning cycles, and ensuring findings inform future releases. Apply an inclusion lens to experimentation, examining how women, youth, low-literacy users, and farmers in low-connectivity regions experience each variant or design choice.