Data Scientist (AI/ML Focus) Remote Jobs

Data Scientists with AI/ML focus combine statistical analysis with machine learning to extract insights and build predictive models. Remote AI-focused data science jobs involve exploratory data analysis, feature engineering, training ML models, running experiments, building dashboards, and collaborating with product and engineering teams to turn data into decisions. If you love finding patterns in data, building models, and answering questions with statistics and ML, these roles are for you.

PythonRSQLPandasScikit-learnStatisticsA/B TestingVisualizationJupyter

Showing 13 remote Data Scientist (AI/ML Focus) jobs

Frequently Asked Questions About Data Scientist (AI/ML Focus) Jobs

What's the difference between Data Scientist and ML Engineer?
Data Scientists focus on analysis, experimentation, insights, and model development — often in notebooks. ML Engineers focus on production systems, pipelines, deployment, and infrastructure. Data Scientists answer 'what should we build?' ML Engineers answer 'how do we build it at scale?' There's overlap, but different focuses.
Do AI-focused Data Scientists need deep learning experience?
Not always. Many data science roles focus on traditional ML (regression, trees, clustering) and statistical analysis. But AI-focused roles increasingly expect familiarity with deep learning, transformers, embeddings, and LLMs. The field is shifting toward more ML depth.
What's the salary for remote AI-focused Data Scientists?
Remote AI Data Scientists earn $100k–$230k+ depending on experience. Senior data scientists at tech companies can earn $150k–$300k+ total comp. Those with strong ML engineering skills and the ability to deploy models command the highest salaries.

Explore Other AI Roles

Daily digest

The best vibe coding jobs, in your inbox

Curated remote dev roles at async-first, no-BS companies. No spam, unsubscribe anytime.

Hiring Data Scientist (AI/ML Focus)s? Post your job for free →