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Executive Full Stack Machine Learning Engineer information
What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?
| Aspect | Executive Full Stack Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack development | Bachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills |
| Work Environment | Develops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teams | Analyzes data, builds models, visualizes insights, often in research or analytics teams |
| Industry Usage | Used in tech companies, startups, and enterprises deploying ML products | Common in research institutions, analytics firms, and data-driven organizations |
The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.
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Hearst rating
6.8
Based on 25 frontline employees who took The Breakroom Quiz
48th of 65 rated media
Job description
FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS
MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions! MOTOR's primary product is Automotive Content, and we need someone who can help us support our Insights-based product suite.
We are looking for someone who wants to be part of our mission to transform the future. We have a rare opportunity for you to use your talent, passion, and expertise to help drive this massive change in how we build our user experience across our product lines, and how consumers experience the MOTOR Product Platform.
This position offers excellent career growth and promotional opportunities, stellar compensation, and the ability to work with the world's premier provider of aftermarket automotive data. Hearst/MOTOR Information Systems will be the best and last place you'll ever work!
Required Experience (Must Have)
Expert Python Developer
Strong SQL Developer
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift)
Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet)
Strong Automation Experience
Experience with Databricks (Delta Lake, Notebooks, SQL Analytics)
Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)
Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)
Experience with Git and Azure DevOps
Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks)
Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)
Helpful Experience (Nice to Have)
Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases
Experience with Automotive Data / Industry
Experience with Agile / Scrum
Primary Responsibilities
- Analyze large, and complex, data sets
- Design, develop and coordinate the generation of Data Pipelines
- Work collaboratively with team to plan and solve complex problems
- Design for, or optimize existing pipelines, for performance and cost
EEO EMPLOYER
About Hearst
Sourced by ZipRecruiter
Industry
Motion picture and video production
Company size
10,000+ Employees
Headquarters location
New York, NY, US
Year founded
1887