Data Scientist
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
You’ll creatively use data to solve business challenges, moving beyond research to focus on production-ready solutions. You will apply advanced analytics and modeling techniques to offer recommendations based on data insights. As a mid-level professional with full production ownership, you will build and maintain products that incorporate GenAI, Machine Learning, and Large Language Models.
Requirements
-
You are an engineering-minded problem solver who can create algorithms from scratch and put them into a live environment.
-
Degree in a quantitative field (Computer Science, Engineering, Physics, Statistics, or Applied Mathematics)
-
At least 4 years of post-degree experience
-
A strong background in Python (required) and other languages like R or Scala.
-
Experience building GenAI, ML, and/or LLM products with an understanding of GenAI-enabled data architectures.
-
Familiarity with statistical and data-mining techniques applied to both structured and unstructured data.
-
Experience working with large data sets and relational databases across various industries.
-
A collaborative spirit and the ability to communicate complex, technical ideas effectively to both colleagues and clients.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on dejobs.orgGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?
What Industries Outside of AI Are Hiring The Most AI Experts?
What Are Large Language Models?
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud