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  • Posted: Aug 5, 2019
    Deadline: Not specified
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    Since the sale of our first kit in 2013, SunCulture has been on a mission to help smallholder farmers in Africa improve both crop yields and quality. We are driven to constantly innovate and improve our technology to make solar powered irrigation solutions truly affordable for the millions of farmers on the continent
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    Senior Data Scientist

    AgOptimized:

    Given trends of changing weather, lack of infrastructure and financing for smallholder farmers and feedback from farmers, we are launching AgOptimized, our $50  farm sensor + app package which increases yield by 45% with 35% lower input costs by offering real-time recommendations on when to plant seeds, irrigate, apply fertilizer, or treat a future pest outbreak. We also offer other products on this AgOptimized platform such as tractor, market access and inputs in order to enable one stop shop farmers. 

    JOB SUMMARY:

    The position  will be responsible for leading a team of junior data scientists to develop world-class agronomy recommendations algorithms for farmers throughout Kenya. They will interface with farmers to make complex, sophisticated AgOptimized technology come to life in the context.

    RESPONSIBILITIES:

    • Conduct reviews on published scientific papers for agronomy algorithms;
    • Lead and coordinate all development tasks related to the building of AgOptimized data pipelines, scientific models, and web APIs;
    • Mentor junior data scientists on all stages of data preparation, modelling, testing and deployment of algorithms into production;
    • Assist SunCulture Product and Business Development teams on aligning AI development roadmap with the company business strategy

    REQUIREMENTS:

    • Masters or PhD in Computer Science, Statistics or Mathematics with diverse work experience; 
    • Technical experience in applying environmental information obtained by sensors and Earth Observation data sources to the development of agriculture algorithms or decision support systems for crop management;
    • High scientific computing technical knowledge, analytical and research skills;
    • Strong background in meteorology and hydrology;
    • Experience in processing large environmental datasets from numerical models forecasts and reanalysis and satellites;
    • Experience in creating and developing data ingestion pipelines, big data infrastructure and AI-based APIs;
    • Experience with diverse modern computer languages such as Python, R, C#, Javascript/Typescript, Java/Scala/Clojure and Elixir;
    • Experience with functional and object-oriented software development;
    • Experience with project management using Agile methodologies such as Scrum
    • Experience creating and understanding digital content;
    • Has worked with sophisticated software/hardware, such as weather stations and soil sensors;
    • Comfortable with ambiguity and working with remote coworkers
    • Familiar with IoT

    Method of Application

    Interested candidates should send applications to hr@sunculture.com

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