Software Developer, Data Science

Job not on LinkedIn

September 25

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GoMaterials

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Agriculture • Marketplace • B2B

GoMaterials is a company that optimizes wholesale plant and tree sourcing specifically for landscapers. Their services streamline the process of estimation and coordination by providing a zero-cost solution that connects landscapers with high-quality plants and trees through wholesale nursery partners. Landscapers can send their plant and tree lists in any format, receive competitive quotes within 48 hours, approve orders online, and benefit from dedicated account management. GoMaterials enhances efficiency by minimizing coordination hassles, reducing returns through strict quality control, and offering competitive pricing to increase bid win-rates. The company is trusted by the lawn and landscape industry across Canada and the US.

11 - 50 employees

🌾 Agriculture

🏪 Marketplace

🤝 B2B

💰 Seed Round on 2022-08

📋 Description

• Design, build, and maintain reliable ETL/ELT pipelines for structured and unstructured data; ensure data quality, integrity, and availability for ML and OR model training and evaluation; implement monitoring and logging for data workflows. • Set up and maintain data science infrastructure in Azure, with a strong focus on Azure ML Studio; productionize AI models in the cloud and ensure scalability; automate environment provisioning, dependency management, and CI/CD pipelines on Azure DevOps; support containerization and orchestration (Docker, Kubernetes, Azure Batch, Azure Container Registry); optimize compute resource usage across Azure VMs, clusters, and ML pipelines. • Implement validation frameworks for ML and OR experiments to ensure reproducibility, correctness, and robustness; develop automated pipelines for model evaluation, testing, and benchmarking; build monitoring dashboards in Azure ML Studio to track model performance, drift, and system reliability; ensure compliance with data governance, versioning, and auditability standards. • Establish and enforce coding standards, version control practices, and automated testing for ML/OR codebases; partner with Data Scientists and OR Engineers to transform research prototypes into production-ready code; conduct peer code reviews and mentor team members. • Collaborate with Product and Engineering teams to integrate ML/OR solutions into core products; provide technical input into design discussions, performance optimization, and scalability planning.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or related field. • Strong programming skills in Python, plus experience with Java, C++, or similar languages. • Solid understanding of data pipelines, APIs, and distributed systems. • Hands-on experience with SQL/NoSQL databases and workflow orchestration tools (e.g., Airflow, Prefect, Luigi). • Proven experience working with Azure services, including Azure ML Studio, Azure Data Factory / Synapse, Azure Blob Storage, Data Lake, Event Hub, and Azure DevOps. • Experience in ML model validation, evaluation, and monitoring. • Strong knowledge of Git, CI/CD, automated testing, and code quality practices. • Excellent problem-solving and collaboration skills. • Preferred: Experience with Azure Batch and Kubernetes; knowledge of data governance and security best practices in Azure; prior work in optimization problems, transport/logistics, or large-scale ML systems; exposure to DevOps/SRE practices for performance monitoring and reliability.

🏖️ Benefits

• Share your ideas and actually see them come to life • Grow with us through learning & promotion opportunities • Enjoy solid health benefits & time off (3 weeks + 1 week during the holiday break) • Get a piece of the pie with equity after your first year • Work with a fun, tight-knit team that celebrates wins together