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Shopify Machine Learning information

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.

What are the key skills and qualifications needed to thrive as a Shopify Machine Learning engineer?

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.

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.

What is the difference between Shopify Machine Learning vs Shopify Data Analyst?

AspectShopify Machine LearningShopify Data Analyst
Required CredentialsBackground in data science, machine learning, programming (Python, R)Degree in statistics, data analysis, or related field
Work EnvironmentDeveloping algorithms, building predictive models, working with large datasetsInterpreting data, creating reports, supporting business decisions
Industry UsageCreating AI-driven features, personalization, automation within ShopifyAnalyzing 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 popular job titles related to Shopify Machine Learning jobs in Louisiana?

For Shopify Machine Learning jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Shopify Machine Learning jobs in Louisiana look for?

The top searched job categories for Shopify Machine Learning jobs in Louisiana are:

Shopify Machine Learning jobs near you

Paid Media & Growth Strategist (4297)

Weiler Plastic Surgery Group

Baton Rouge, LA • On-site

$90 - $150/hr

Other

Posted 11 days ago

Job description

Job Details

Job Location: HYPE - Baton Rouge, LA 70809

Position Type: Full Time

Job Category: Marketing

Senior Paid Media & Performance Specialist

Company: Hype Marketing Agency

Job Summary

Hype Marketing Agency is seeking an experienced, high-performing Senior Paid Media & Performance Specialist to take end-to-end ownership of our client portfolio’s paid social and paid search ecosystems.

In this role, you will be the primary architect and manager for all Meta and Google advertising accounts. Beyond media buying, you will bridge the gap between ad traffic and actual business revenue by collaborating with internal operations and sales teams. Utilizing tools like HubSpot and Aesthetix CRM, you will help build and fine-tune conversion paths that guide leads from initial click to booked patient and beyond. This is a senior individual contributor role for a performance marketer who thrives on scaling accounts and driving measurable ROI.

Key Responsibilities1. Full-Funnel Paid Media & AI Integration (55%)
  • End-to-End Account Ownership: Lead the strategy, execution, scale, and daily management of Meta Ads (Facebook/Instagram) and Google Ads (Search, Display, Shopping, Performance Max, YouTube).
  • AI & Machine Learning Harnessing: Implement platform-native AI algorithms (Google Smart Bidding, Performance Max asset groups, Meta Advantage+ campaigns) while leveraging generative AI tools to streamline copy ideation, audience research, and creative variations.
  • Creative Strategy & Briefing: Direct the visual and messaging strategy for ads; write high-converting copy and collaborate with graphic/video teams to brief creative angles, hooks, and formats (Reels, Shorts, Carousels) optimized for paid channels.
  • A/B Testing: Develop and execute structured tests across audiences, creative, landing pages, and bid strategies to drive continuous performance improvement.
  • Performance & Budget Scaling: Oversee budget allocation, bid strategies, and account pacing across a diverse client portfolio ($XX,XXX+ in monthly spend) to improve ROAS and lower CPA.
2. Patient/Client Lifecycle & CRM Strategy (20%)
  • Full Lead-to-Patient Conversion Paths: Leverage HubSpot and Aesthetix CRM to map, measure, and optimize complete conversion paths—ensuring paid traffic flows seamlessly from top-of-funnel lead to booked patient, consult, and repeat client.
  • Lead Scoring & Operations Alignment: Work directly with clients' internal sales, reception, and operations teams to establish lead scoring frameworks, ensure fast follow-ups, and refine lead qualification criteria based on real-world outcomes.
  • Closed-Loop Feedback Loops: Utilise offline conversion tracking (OCT) and CRM pipeline data from HubSpot and Aesthetix CRM back to ad platforms to continuously refine targeting based on actual revenues generated.
3. Tracking, Attribution & Web CMS Management (15%)
  • Advanced Tracking & Attribution: Architect robust event and conversion tracking across accounts using Google Tag Manager (GTM), GA4, Meta Conversions API (CAPI), and third-party attribution models.
  • Account Governance & Hygiene: Audit, restructure, and maintain clean infrastructure across Google Business Manager/MCC and Meta Business Suite, ensuring proper conversion integrity and user access control.
  • Landing Page & CMS Optimization: Manage updates, form setups, and user experience (UX) enhancements across various Web Content Management Systems (Shopify, Webflow, HubSpot, Squarespace, etc.) to maximize conversion rates.
4. Client Strategy & Agency Leadership (10%)
  • Direct Client Communication: Translate complex advertising and revenue metrics into actionable business insights during regular performance reviews and strategy call.
  • Reporting & Forecasting: Build monthly performance reports, identify optimization opportunities, forecast ad spend and performance trends, and present insights to clients during strategy call.
  • Mentorship: Share paid media best practices, creative frameworks, and emerging AI tools with junior team members.
  • Growth Support: Participate in new client proposals, account audits, and onboarding sessions as the lead paid media technical expert.
QualificationsQualifications & Requirements
  • Experience: 4–6+ years of hands-on experience independently managing and scaling paid media accounts across Meta and Google (agency experience strongly preferred).
  • CRM Expertise: Direct experience working within HubSpot and/or Aesthetix CRM (or similar medical aesthetic/patient management CRMs) to track and optimize lead-to-patient conversion pipelines.
  • Sales & Marketing Operations Alignment: Proven experience collaborating with sales/operations teams on lead scoring, lead qualification workflows, and pipeline feedback loops.
  • Ad Management Mastery: Proven track record of auditing, restructuring, and profitably scaling complex ad accounts across both B2B and B2C/Medical/E-commerce verticals.
  • AI Tooling: Demonstrated proficiency utilizing built-in ad network AI tools (Meta Advantage+, Google PMax) and external AI software for copy and media production.
  • Analytics & Tracking Tech: Deep knowledge of GTM, GA4, Meta CAPI, and custom conversion setups.
  • CMS & CRO Experience: Hands-on familiarity updating content and building landing pages inside major Web CMS platforms.
  • Certifications: Active Google Ads Certifications and Meta Certified Digital Marketing Associate / Blueprint credentials required (or in progress).
  • Communication: Exceptional verbal and written communication skills with comfort presenting directly to C-suite and business-owner clients.
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