Top Data Science Jobs on LinkedIn in September 2025
Humpy Adepu
Machine Learning Engineer – Designs, develops, and deploys scalable ML models for real-world applications across industries like healthcare, fintech, and retail.
AI Research Scientist – Explores advanced AI algorithms, conducts experiments, and publishes findings, driving innovation in natural language processing and computer vision.
Data Engineer – Builds pipelines and infrastructure to collect, transform, and deliver clean, usable data for machine learning and analytics projects.
Business Intelligence Analyst – Translates raw data into actionable business insights, creating dashboards and reports that inform strategic decision-making processes.
Cloud Data Architect – Designs cloud-native data ecosystems, optimizing performance, security, and cost efficiency for organizations migrating to multi-cloud infrastructures.
Computer Vision Specialist – Develops advanced recognition systems for industries like autonomous vehicles, healthcare imaging, and surveillance, enhancing accuracy and reliability.
NLP Engineer – Specializes in natural language processing, creating models for sentiment analysis, chatbots, and multilingual applications, improving human-computer interactions.
Data Privacy Consultant – Advises organizations on ethical data collection, anonymization, and compliance, balancing innovation with stringent global regulatory requirements.
Generative AI Developer – Builds innovative generative AI models for text, image, and video applications, powering creative industries and immersive digital experiences.