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Who Are We

About the job

Apply Data Science best-practices to reducing the cost and negative ecological impact of inventory misalignment - overstocking  and under-stocking, and make a big contribution across our entire product in this small, passionate team. 

At Kola Market, we’re harnessing the power of ML to provide real-time, intelligent forecasting for small businesses across Africa. We’re able to drastically reduce the amount of waste which in turn drives profit for small businesses, lowers costs for consumers, and reduces the ecological impact of waste. We’re using technology to solve a globally-relevant problem that both creates a positive environmental impact and an exciting (and potentially massive) commercial opportunity. Kola is designed for intuitiveness, reliability and scalability. We are dedicated to helping our customers — small and large businesses — see the benefits of our offering come to life.


We are hiring a Data Scientist to join our growing Engineering and Data team. You will be spearheading projects primarily to determine what data we collect and how, and which other sources we passively utilize to provide smart inventory recommendations to our customers and to improve our day to day marketplace operations.


Your background in mathematics, statistics, and business logic will directly impact the accuracy of our forecasting, striking a fine balance between reducing instances of excess inventory, and avoiding understocking situations. Help us solve critical problems related to the following areas: time-series analysis, demand forecasting, predictive modeling and machine learning, feature identification & pattern recognition, model segmentation & aggregation, constrained optimization.

Required Qualifications

We think you would make a great Data Scientist if you:

  • Have a Masters degree in a related quantitative field (Computer Science, Math, Statistics, Engineering, Physics, Economics) 

  • Bring 4+ years of relevant working experience in a similar role, preferably with specific experience in the domain of time series demand or other forecasting 

  • Have production-level experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical programming languages (e.g. R, Matlab) 

  • Expertise with statistical analysis, applying various machine learning techniques, especially predictive modeling, to solve business problems 

  • Bring a proven ability to think creatively, solve problems, learn quickly, work independently, handle ambiguity, and adapt to change in a fast-paced environment 

  • Excellent written, verbal, and interpersonal communication and presentation skills


  • Ability to develop deep understanding of Kola Market’s technology, overall business and customers

  • Excellent interpersonal skills and communication skills.

  • Customer centric - empathetic and willing to go the extra mile to ensure customer satisfaction

  • Analytical and able to draw insights from minimal data and by consistent engagement with leads and customers

  • Ability to problem-solve and work autonomously


As a Data scientist, you will:

  • Report to the CEO & CTO, and work cross-functionally (e.g. Product, Engineering, Operations, etc) to frame problems, both mathematically and within the business context; to measure and optimize products and business processes; to identify opportunities, assess risk potentials and explain trends; to drive customer adoption and revenue growth 

  • Own the end-to-end experience with data, including querying, aggregation, deep analysis, visualization and models; presenting findings/actionable insights to internal and external stakeholders

  • Design, analyze, and run both simulated and live experiments (A/B and multivariate tests) to drive KPI improvement

  • Continuously improve the quality and accessibility of our analytical capabilities and framework as well as data reporting infrastructure 

  • Assist in data requirements gathering and data validations to improve data platforms

Why work with us?

  • You will be part of a dynamic learning team that is constantly evolving and developing new ways to help SMEs grow well. 

  • You will gain valuable in-depth knowledge of the inner workings of SMEs in Africa (Ghana as a proxy)

  • You will be exposed to a team of dedicated and experienced founding team members, who are ready to share and collaborate to build knowledge and fill knowledge gaps.

Are you up for the challenge?

Please email your resume to :
Kindly use the subject : Application - Data Scientist

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