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Data Scientist

Location: Nairobi, Kenya 

Department/Unit: Technology Team

Reports to: Engineering Leads



Company Overview 

Hello Tractor connects tractor owners to smallholder farmers through an IoT digital solution that supports improved management of tractor businesses, ensuring tractor owner success, while connecting farmers to affordable services. Our solution begins with a low-cost hardware monitoring device that can be installed on any tractor, connecting it to the cloud for remote data tracking and analytics. By expanding tractors’ serviceable geography, we enable owners to grow their business, providing employment opportunities for service providers and rural booking agents. By creating equitable access to tractor services, we enable smallholder farmers to earn more and grow more, improving livelihoods and food security for their families and communities.


Job Summary

Hello Tractor is looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our reporting tools. You will be working with a world-class team of professionals who are passionate about what they do and will expect no less from you. Having an insatiable hunger for learning new technologies and improving existing ones is key. Passion to apply technology to meet the needs of low-income farmers is an absolute must. If it is a good mutual fit, you will pay attention to details and take great pride in your work.

Key Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance


  • At least 4 years of full-time professional experience in a role of a Data Scientist
  • Lead the cycle of translating ideas from concept to production-grade economic models and data science solutions, ensuring long-term viability and robustness
  • Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests
  • Understand and lead the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality
  • Collaborate with data engineers and business intelligence to turn insights into data products such as  algorithms, and self-service dashboards
  • Effectively communicate findings and insights to executive partners and collaborate with product development teams to integrate them into decision-making
  • Stay informed about advancements in applied economics and statistical methodologies to drive enhancements in internal tooling
  • Provide guidance and mentorship to the Data Science & Analytics team, fostering an environment of excellence, innovation, and collaboration.Proficient in programming in Python


  • We offer an industry competitive salary and benefits, with an opportunity to participate in the company’s equity incentive program.


If this sounds like what you have been seeking, send your resume and cover letter to Please put Data Scientist in the subject line.

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