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