Machine learning engineer vs data scientist reddit. Learn which path aligns best with your interests and goals.

Machine learning engineer vs data scientist reddit. For those of you who work in a company with data scientists and machine learning engineers, what's the main difference between both? I know it varies by company, that's why I'm asking lol. If you enjoy coding more, do ML Engineer. Jul 23, 2025 · Machine Learning Engineers (ML Engineers) and Data Scientists both roles work closely with data and often overlap in responsibilities, they have unique skill sets, objectives, and focuses within the broader field of data science and artificial intelligence. It's been the same job for a decade while the title changes with the times. The goal of a data scientist is to bring value to the business using "data" and "science". As a data scientist, you focus more on reading research papers, implementing some algorithms and use statistics to find any sort of pattern in data. . Apr 20, 2024 · Data Scientist is expected to understand the science of using data to train particular types of models. On the other hand, Data Scientists tend to employ statistical methods such as good experiment design and more clear and interpretable statistical models. On one end, you'll have someone import some numbers into Excel and plotting a chart and telling the management that "oi, pineapple pizza sales are growing but anchovies pizza sales are tanking hard" so they can act upon that information. Data engineering is less sexy and more sweaty work. Learn which path aligns best with your interests and goals. Understanding the Feb 15, 2024 · Explore the key differences between Data Scientists and Machine Learning Engineers, including their roles, responsibilities, skills, and career paths. Both roles typically require a strong educational background in fields like computer science or mathematics, with continuous learning being essential for career advancement. I moved from a data science to data engineering. Your mileage may vary. The job profile involves research in Process Mining Offer 2: Machine Learning Engineer at a popular Analytics Consulting Firm. It's been some combination of data analysis, machine learning, and software engineering, to the taste of the individual and organization. Machine Learning Engineer Vs Data Scientist This article will explore the distinctions between ML Engineers and Data Scientists, shedding Jul 8, 2024 · Data Scientist Vs Machine Learning Engineer: Which is Better? Compare the roles, skills, and impacts of these leading data careers to find your perfect match in the tech world. truehence my desire to get formal training in data science principles and relevant coding languages Why do you believe data engineering will do this better than machine learning engineering? MLE is explicitly deploying DS models in production, while DE may have hundreds of customers who are not data scientists (analytics teams; other nontechnical teams like sales, HR I've been a "predictive modeler", a "data scientist", and am now a "machine learning engineer". ML Engineer is more aligned to engineer a solution using the trained model that can be shipped as a product. I spent a summer as a Data Scientist intern and now work as ML Engineer. If you ever seen the role "Software Engineer - Machine Learning" that's pretty much interchangeable with ML Engineer. On the other end, you'll have people with PhD's in machine learning Although, I have seen a few openings where "data engineer" job basically is any type of engineering support/development for data scientists, but haven't seen too much of these. You are focused on moving data and more software things. ML Engineer is just a specialized Software Engineer. Jun 11, 2025 · Data scientists focus on deriving insights from data to influence business decisions, while machine learning engineers concentrate on developing, deploying, and optimizing machine learning models. 32 votes, 39 comments. This is why people who do machine learning tend to be called Machine Learning Engineers. The profile involves deploying machine learning and deep learning models using Kubernetes, Heroku, Dask, etc. I have received offers from 2 companies: Offer 1: Data Scientist at a big Oil and Gas Corp. slcnjk gnlorx cmgkt atbc dsu plus fzkd afgdm osj ydggtm

26th Apr 2024