About the Role

Our ~70-strong Tech team is in charge of delivering and operating a broad range of IT solutions to support our activity, including both internal developments and off-the-shelf enterprise solutions used by farmers and field or HQ staff.

This includes e.g. mobile apps for field staff to manage farmer’s orders and loans or track deliveries, BI solutions to analyze farmer yields, farmer-facing services through e.g. Whatsapp or USSD to manage their accounts, or back-office solutions to manage employee information and requests.

Our data engineering and analytics teams are 6+ strong and leverage a technical stack made of Airbyte, Dataiku, Snowflake, Apache Superset

Responsibilities

Manage a team of 1-2 Data Scientists, and report to the Head of Data and Analytics

Data Analytics:

• Select and implement data analytics tools that fit our needs
• Develop reference dashboards and reports to support our decision-making
• Conduct ad-hoc analysis projects on behalf of business partners
• Perform evangelism to promote the value of a data-driven culture
• Provide support and training to business teams to empower them to use self-service analytics tools

AI & Machine Learning:

• Develop our AI tooling stack and infrastructure
• Design models to power our AI/ML-based application features
• e.g. LLMs for chatbots, CV models for disease identification or ID verification, classification for customer credit risk, forecasting models for yield and fertilizer prices, …
• Collaborate with application teams to identify areas of AI potential and integrate models

Continuous Improvement:

• Stay updated with industry trends and emerging AI/ML/BI technologies, running experiments and prototypes whenever required
• Anticipate data-related business and technical needs

Career Growth and Development

We have a strong culture of constant learning and we invest in developing our people. You’ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months, and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and build a rewarding long-term career.

Qualifications

Across all roles, these are the general qualifications we look for. For this role specifically, you will have:

• 6+ years of experience in the software industry, including 3+ years in a data / BI role
• Significant experience in BI tools such as Tableau, Power BI, Looker, Superset, and data processing and querying languages (numpy, pandas, R, SQL…)
• Experience in machine learning algorithms and frameworks (TensorFlow, pytorch, scikit-learn, LangChain…)
• Excellent analytical skills
• A background in agriculture or African development is appreciated