Summary
Date Posted: Tuesday, February 04, 2020 , Base Salary: Not Disclosed

JOB DETAILS:
At Living Goods we empower people to improve the health of their families, friends and communities. Living Goods supports networks of 'Avon-like’ health entrepreneurs who go door to door to teach families how to improve their health and wealth and sell life-changing products such as simple treatments for malaria and diarrhea, safe delivery kits, fortified foods, clean cook stoves, water filters, and solar lights. By combining the best practices from business and public health, we are dramatically lowering child mortality AND creating livelihoods for thousands of enterprising women. The Data Scientist will represent the foundation of a data driven culture that has made Living Goods a successful organization delivering health services via the community health worker. The successful candidate in this role will use a wealth of internal data streamed for different physical sources, and external data available to understand beneficiaries’ behaviour, improve operational efficiencies and provide actionable insights to stakeholders so they can make smarter, data-driven decisions. Based in Nairobi, Kenya, the ideal candidate will have an established background in solving complex problems, a strong technical ability, excellent project management skills, great communication skills, and the motivation to achieve results in a fast-paced environment. Our team is small, creative, diligent, highly entrepreneurial and business-focused. .

Responsibilities
• Use various data mining techniques to uncover trends and derive insights
• Analyze forecasting metrics, perform exploratory data analysis with the goal to uncover trends, find root causes of forecast inaccuracies and develop innovative features that can drive additional value
• Solve complex data science problems using the breadth of open source tools available including problem framing, data preparation, model building, model deployment and output consumption in the form of dashboards
• Manage stakeholder expectations and design data science solutions which align with our pillars of maximizing impact and scale, reducing operational costs and improve beneficiaries’ experience
• Perform ad-hoc analysis and present results concisely and persuasively to various stakeholders
• Deliver successful high-profile data science projects within the organisation

  What we are looking for
• Passionate about science and data. Our drive is to bring advanced technology and robust scientific techniques into the research and operation.
• Highly driven, results-oriented, creative and a problem solver with an ability to prioritize and set direction in a fast-moving environment
• Curious attitude with collaborative and resourceful working style
• Team Player. Act as an ambassador for Data Science within Living Goods and enable others in the organization to utilize your work
• You are accountable. We take responsibility for our own successes and failures.
• You are disciplined. We do things the right way, we do not cut corners, we do not rely on smoke and mirrors; we are the real deal.

  Minimum qualifications
• A university degree in Big Data, Mathematics, Statistics or Computer Science
• At least 3 years work experience as a data scientist within a business environment
• Practical experience building and implementing predictive models using machine learning algorithms and knowledge of building time-series models by taking into account dynamic variables
• Working knowledge of relational databases, data manipulation, business and/or enterprise intelligence, and applied statistics
• Experience with data science programming languages, specifically Python/Java or R
• A deep understanding of AI, ML, NLP and deep learning tools and libraries and familiarity with big data technologies and data frameworks like Hadoop, Spark, Kafka, nifi or other
• Superior written and verbal communication skills and the ability to clearly explain technical concepts and implications of analyses (tell a data story) to a wide audience.
• Proven ability to translate business problems into actionable analyses
• Excellent general IT skills and the aptitude to learn new packages and processes
• Strong project management skills
• Experience in health or a related field will be an added advantage

Job Education Requirements: Not Specified

Job Experience Requirements: Not Specified

Work Hours: 8

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