Summary of Role: Esoko is changing how businesses manage smallholder farmers, suppliers and clients through the effective use of mobile/web innovations. The Data Science Fellow will be responsible for analysing the data on our m-commerce and survey platforms to help Esoko understand its current data better and determine any business opportunities based on it. The successful candidate will work across the company to understand, organize and analyse our existing data, as well as design and implement Esoko’s data strategy going forward.
We are looking for someone who proactively searches for and makes value out of data by leveraging it for decision-making purposes. Company Background Esoko is an award-winning tech company that links smallholder farmers to markets across Africa. We do this through simple but powerful mobile- and web-based solutions that enable businesses and farmers communicate and transact more effectively. We are currently expanding into mobile commerce in the agriculture sector, which will enable us to generate large volumes of data.
About the Role:
Develop and implement a data strategy for the company that results in valuable insights that can drive product development/enhancement and profits
Work with team members from across all business functions to identify actionable, high-impact insights, helping us to improve our m-commerce and survey solutions
Research, design, implement and validate algorithms to analyze m-commerce and survey data and achieve targeted outcomes
Provide expertise on data-driven analysis and drive the adoption of advanced analytics and data science across the entire breadth of our organization
Enhance data collection procedures to include information that is relevant for Esoko to effectively use and monetize its data
Process, clean, and verify the integrity of current (and future) data used for analysis
Compensation: Esoko provides its Fellows with a generous monthly stipend, accommodation and health care. We will also cover the cost of round-trip airfare from your home country
Required Skills or Experience
Degree from a top university in data science, data analytics, applied statistics, or a related quantitative discipline. A master’s degree in a relevant field is a plus.
Two years of experience in data science in a business environment
Ability and desire to work with a start-up in implementing its first data strategy
Deep understanding of and ability to communicate with lay people about machine learning techniques and algorithms
Experience with common data science tool kits
Ability to understand software engineering techniques
Experience with data visualization tools
Strong applied statistics skills
Highly detail-oriented
Highly quantitative – you are a data-driven decision maker
Intellectually curious and an original thinker
Process driven – the ends don’t always justify the means for you
Passionate about working in a business with strong social impact
Passionate about innovative technology
Have a consultative approach to problem-solving for clients
Able to inspire and advocate internally and externally
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