Shopify administration). * Familiarity integrating supply chain applications with back-office ... Leverage machine learning and advanced analytics to improve forecasting, inventory optimization ...
Shopify administration). * Familiarity integrating supply chain applications with back-office ... Leverage machine learning and advanced analytics to improve forecasting, inventory optimization ...
Shopify Machine Learning information
How much do machine learning engineers make at Shopify?
Machine learning engineers at Shopify typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Salaries can increase with expertise in areas like data modeling, Python, and machine learning frameworks such as TensorFlow or PyTorch.
Will AI replace Shopify developers?
Shopify developers design and customize online stores using tools like Liquid, APIs, and apps. While AI can automate certain tasks such as data analysis or basic coding, it is unlikely to fully replace skilled developers who require creativity, problem-solving, and customization expertise in building complex e-commerce solutions.
What is the difference between Shopify Machine Learning vs Shopify Data Analyst?
| Aspect | Shopify Machine Learning | Shopify Data Analyst |
|---|---|---|
| Required Credentials | Background in data science, machine learning, programming (Python, R) | Degree in statistics, data analysis, or related field |
| Work Environment | Developing algorithms, building predictive models, working with large datasets | Interpreting data, creating reports, supporting business decisions |
| Industry Usage | Creating AI-driven features, personalization, automation within Shopify | Analyzing sales, customer behavior, and performance metrics for Shopify stores |
Shopify Machine Learning focuses on developing algorithms and models to enhance platform features, while Shopify Data Analysts interpret data to inform business strategies. Both roles require strong analytical skills but differ in technical depth and application.
What are the key skills and qualifications needed to thrive as a Shopify Machine Learning Engineer, and why are they important?
To thrive as a Shopify Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically supported by a relevant degree. Familiarity with tools like Python, TensorFlow or PyTorch, and experience with Shopify's data systems and APIs are crucial. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts to non-technical stakeholders are vital soft skills. These abilities ensure the effective development, deployment, and integration of machine learning solutions that drive business value on the Shopify platform.
What is a Shopify Machine Learning specialist?
A Shopify Machine Learning specialist is a professional who designs, develops, and deploys machine learning models to improve various aspects of the Shopify platform, such as product recommendations, search optimization, fraud detection, and customer insights. They work with large datasets, use statistical analysis, and implement algorithms to automate and enhance business processes. Their goal is to help merchants and customers have a more personalized, efficient, and secure experience on Shopify.
Does Shopify use machine learning?
Shopify employs machine learning techniques to enhance its platform, including personalized product recommendations, fraud detection, and inventory forecasting. These tools help improve user experience and operational efficiency for merchants using Shopify's e-commerce solutions.
How do Shopify Machine Learning professionals typically collaborate with engineering and product teams to implement ML solutions?
Shopify Machine Learning professionals work closely with engineering and product teams throughout the entire lifecycle of ML projects. They participate in cross-functional meetings to understand business needs, share insights from data, and help define project scopes. During implementation, they collaborate with engineers to integrate models into production systems, ensuring scalability and reliability. Regular communication with product managers ensures that machine learning solutions align with user needs and business goals, making teamwork and adaptability essential skills in this role.
Is ML a high paying job?
Machine learning roles, including those related to Shopify and e-commerce platforms, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of ML frameworks. Salaries vary based on experience, location, and industry, but generally, ML jobs are considered well-paying compared to many other tech roles.
What are popular job titles related to Shopify Machine Learning jobs in Arizona? For Shopify Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Shopify Machine Learning jobs in Arizona look for? The top searched job categories for Shopify Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Shopify Machine Learning jobs? Cities in Arizona with the most Shopify Machine Learning job openings:
Full-time
Posted 27 days ago
Job description
It's fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time.
Position Overview:
Dutch Bros isn't just about coffee; it's about building a legendary brand with an amazing customer experience. We are growing as a company, and our Technology department is scaling with it. We are seeking a highly organized and analytical Senior Technology Business Systems Analyst - Supply Chain to help us run the "Business of Technology." while directly building and improving the
systems that power our Supply Chain operations. This role combines deep business process expertise with technical execution, including integrations, automation, and AI-enabled solutions. This role is pivotal in providing systems and business-process leadership for Supply Chain operations, while designing and implementing scalable solutions that improve performance, visibility, and decision-making. The ideal candidate is an excellent communicator with strong technical skills, high attention to detail, and the ability to partner across Supply Chain and Technology to deliver measurable outcomes.
Job Qualifications:
5-7+ years of experience in a Business Analyst role working directly with supply chain systems and technologies, business processes, or a similar analytics role.
Experience with supply chain operations: warehouse operations management, inventory logistics planning and management, demand forecasting, inventory optimization, and capacity planning.
Experience administering, optimizing, and improving B2B or B2C front-end technologies that integrate with supply chain (strongly preferred: Shopify administration).
Familiarity integrating supply chain applications with back-office enterprise systems (ERP) and front-end order-taking technologies (e.g., Shopify).
Experience supporting data integration from supply chain systems to reporting databases and data-lake technologies.
Strong analytical capabilities, with experience developing and maintaining performance dashboards and KPIs to drive improvement and operational excellence.
Experience in project administration, including cross-departmental coordination, planning, and execution tracking.
Familiarity with vendor and supplier management, including performance monitoring, contract alignment, and relationship management.
Strongly preferred: Experience/familiarity with manufacturing system production operations, including ERP (e.g., Microsoft D365 preferred) and MES systems.
Strongly preferred: Experience with supply chain in food service operations.
A true "Get It Done" mindset - self-motivated, solutions-oriented, and driven to remove obstacles and deliver measurable results.
Bachelor's degree in Supply Chain Management (Technologies), Operations, Business Administration, or a related field required.
Location Requirement:
This role is located in Tempe, Arizona. This position is required to be in office 4 days per week (Mon-Thurs); Fridays are optional remote work days.
Key Result Areas (KRAs):
Supply Chain Systems Engineering & Ownership:
End-to-End System Ownership: Own the architecture, performance, and reliability of Supply Chain systems, integrations, and data flows
Solution Design & Build: Design, build, and deploy scalable integrations, automations, and system enhancements across supply chain platforms and enterprise systems
AI-Enabled Optimization: Identify and implement AI-driven solutions (forecasting improvements, anomaly detection, workflow automation) to enhance operational decision-making
Operational Problem Solving: Proactively identify system bottlenecks, process inefficiencies, and data gaps, and implement durable technical solutions
Technical Leadership: Set best practices for system design, integration patterns, and automation; mentor other engineers and guide technical direction
Data, Reporting & Intelligence Engineering
Data Pipeline Ownership: Design and maintain data pipelines that move supply chain data across systems, ensuring reliability and scalability
Advanced Analytics Enablement: Build and evolve data models and reporting frameworks to support real-time and strategic decision-making
KPI & Dashboard Engineering: Develop robust dashboards tied to business outcomes, not just activity metrics
Data Quality & Observability: Implement monitoring, validation, and alerting to ensure data accuracy and system health
Predictive & AI Insights: Leverage machine learning and advanced analytics to improve forecasting, inventory optimization, and operational visibility
Product & Solution Delivery
Technical Translation: Translate complex business needs into scalable technical designs, integrations, and system solutions
Full Lifecycle Ownership: Lead initiatives from discovery through design, build, deployment, and continuous improvement
Cross-Functional Delivery: Partner with Supply Chain, Finance, and Technology teams to deliver high-impact solutions quickly and effectively
Testing & Quality: Define and execute testing strategies (unit, integration, UAT) to ensure system reliability and performance
Continuous Improvement: Drive iteration based on system performance, user feedback, and evolving business needs
Platform & Integration Strategy
Integration Architecture: Define and evolve integration patterns across supply chain, ERP, and front-end systems
Scalability & Performance: Ensure systems are designed for growth, resilience, and high availability
Technology Evaluation: Evaluate and implement new tools, platforms, and capabilities that improve system performance and team velocity
Vendor Technical Oversight: Provide technical guidance and accountability for vendor-delivered solutions and integrations
Skills:
Supply Chain / Warehouse / Inventory operations technologies
Data and Operational Analytics
Enjoys critical and innovative problem-solving
Curious to learn and evaluate new systems and technologies
Excellent collaborative skills with team members and external departments
Excellent communicator
Highly organized with the ability to be detail-oriented
Project coordination and management
Stakeholder management
Physical Requirements:
In-Office Environment:Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions
Must be able to collaborate in-person with occasional impromptu in-person meetings
Office Conditions:Adaptability to typical office conditions, which may include exposure to air conditioning, heating, artificial lighting, and varying noise levels
Mobility: Ability to sit, stand, reach, twist, stretch, and work at a desk for long stretches. Must be able to occasionally move or lift office items up to 25 pounds
Hearing Requirements:Hearing must be sufficient or correctable to ensure clear understanding of spoken information, including participating in virtual meetings and phone calls. Use of hearing aids or other assistive devices is acceptable if needed.
Reading and Writing Proficiency:Ability to read and write in English is essential for processing documents, drafting reports, and following up on necessary actions. Proficiency in written communication is required to handle job-related tasks effectively.
Vision Requirements:Vision must be adequate or correctable to perform essential job duties, such as reading documents on a computer screen and using other visual tools. Use of corrective lenses or other measures to meet visual requirements is expected if needed.
Technology Proficiency:Must be proficient in operating a computer and other office productivity tools such as printers, scanners, and collaboration software.
Effective Communication:Must possess strong verbal and written communication skills to interact effectively with team members, clients, and other stakeholders via email, video conferencing, and other in office communication tools.
Compensation:
DOE
If you like wild growth and working in a unique and fun environment, surrounded by positive community, you'll enjoy your career with us!