Posted:Jan 3
By:Hiring Kenya
Company Details
Industry:
Food Production
Description:
Greenspoon Kenya is the online store for people who care about what they eat. Founded in September 2016, Greenspoon was born of a desire to support artisan producers in Kenya, and at the same time provide increased transparency to consumers around the provenance of their food. We are proud to be the first online retail store specifically geared towards showcasing high quality, artisan products, largely made in Kenya. Greenspoon aims to change the way people shop for food: by providing greater transparency, we aim to foster greater consciousness around how and what to buy. We want to see our economy and our local producers grow with greater support from consumers.
Job Description
As our Data Scientist/Engineer, you'll architect and implement data solutions that power Greenspoon's next phase of growth. You'll work closely with operational teams (e.g. logistics, finance, marketing) to transform our vast data resources into strategic advantages, helping us make smarter decisions about inventory, customer preferences, delivery optimization, and market trends.
Key responsibilities
Technical leadership:
- Design and implement scalable data warehouse and data lake architectures
- Build and maintain ETL pipelines for processing diverse data sources
- Develop and deploy machine learning models for demand forecasting, logistics optimizations, and customer behavior analysis
- Create robust data validation and quality assurance processes
- Implement data governance frameworks and best practices
Business impact:
- Partner with business teams to identify opportunities for data-driven optimization
- Develop predictive models for inventory management and supply chain efficiency
- Create dashboards and visualization tools for business intelligence
- Analyze customer behavior patterns to enhance personalization and service delivery
- Support data-driven decision making across all departments
Development:
- Build automated reporting systems and self-service analytics tools
- Develop APIs and interfaces for internal data access
- Optimize data storage and processing for cost efficiency
Required skills & experience
Technical expertise:
- Strong programming skills in Python, SQL, and data processing frameworks
- Experience with cloud-based data platforms (AWS, Google Cloud, or Azure)
- Conversant with ETL technologies (e.g. Airbyte, Postman)
- Proficiency in data warehousing concepts and technologies (e.g. Snowflake, Azure)
- Expertise in machine learning frameworks and statistical analysis
- Knowledge of efficiently managing data visualization tools (e.g. PowerBI, Tableau)
- Experience in automation software (e.g. PowerAutomate, UIPath) is a plus
- Experience working with D2C ecommerce platforms (Shopify, WooCommerce) is a plus
- Experience working with ERPs (e.g. Microsoft Dynamics, SAP) is a plus
- Knowledge of WordPress data structures is a plus
Business acumen:
- Demonstrated ability to translate business requirements into technical solutions
- Strong project management and stakeholder communication skills
- Ability to explain complex technical concepts to non-technical audiences
- Track record of delivering data projects with measurable business impact
Background:
- Degree in computer science, statistics or similar with excellent academic achievement
- 2+ years of experience working with data and algorithms in some sort
- Analytical mindset combined with business pragmatism
- Self-directed with strong problem-solving abilities
- Excellent communication and collaboration skills
- Adaptable to changing priorities in a fast-paced environment
- Passion for sustainability and social impact
Education: Degree, Diploma
Employment Type: Full Time
