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Find Reviewed Data Scientists for Your Team

If your team needs better reporting, forecasting, experiments, or decision support, this is the talent category most likely to create near-term business clarity.

Add a reviewed data scientist or analyst to your team — forecasting, A/B testing, BI dashboards, and ML modelling. Every profile is manually reviewed. Direct contact, no agency.

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AI & ML Engineering Data Science & Analytics NLP & Prompt Engineering MLOps & AI Infrastructure Automation & AI Workflows

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M

Mahmoud Ayman Samir

Mid-level
Full Time, Part Time
ai jobs computer vision
python django flask pytorch tenserflow
Open profile
B

Brundha J

Entry-level
Full Time
data science data science & analytics
python c++ sql machine learning data preprocessing +5
Open profile
Irtaza Malik

Irtaza Malik

Mid-level
data science Big Data
django react node.js mysql sqlite +4
Open profile
B

Borislav Koynin

Mid-level
Full Time, Contract
MLOps ml (machine learning)
devops azure mlops python data pipel +1
Open profile
H

Hariharan D

Mid-level
Full Time
Big Data Analyst
sql python snowflake databricks azure +5
Open profile
S

Sieu Tran

Mid-level
Full Time
computer vision Research
python fastapi reactjs mlflow airflow +1
Open profile
Arshad Mulla

Arshad Mulla

Entry-level
Full Time, Internship
chatgpt prompt engineering
python machine learning data analysis
Open profile
Aditya Bagri

Aditya Bagri

Entry-level
Part Time, Internship
computer vision ml (machine learning)
python machine learning
Open profile
S

Sudhakar Kondeti

Mid-level
Full Time
Data Engineering & Big Data data science & analytics
etl pipelines spark sql hadoop databricks +3
Open profile
Ade Febrian

Ade Febrian

Senior-level
Full Time
data science & analytics
python
Open profile

Category guide

Find Reviewed Data Scientists for Your Team

Why hire Data Science & Analytics talent?

Data scientists and analytics specialists help teams turn raw data into decisions. They build dashboards, forecasting systems, experimentation frameworks, and reporting workflows that improve visibility across the business. These profiles are especially valuable when your company wants to make better product, growth, or operational decisions with data.

Verified professionals for data-driven teams

On RemoteAI, companies can compare vetted analytics talent with hands-on experience in SQL, BI tooling, experimentation, and business reporting. If you also need to operationalize AI systems after analysis, browse our MLOps & AI Infrastructure experts.

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