Data Scientist - I

Your role:
The Data Scientist is responsible for ensuring data quality, accuracy, and reliability through rigorous validation and cleansing techniques, driving comprehensive quality control measures, working under limited supervision. The role utilizes advanced algorithms and AI, participates in end-to-end data mining projects to extract deep insights from complex data sources. The role deploys and tests data science solutions rigorously, ensuring optimal performance and seamless integration with enterprise systems. The role maintains robust data pipelines and workflows and leverages big data technologies to support advanced analytics projects.

You're the right fit if:

• 10 -15 years experience in AI and Data Science field.

• Master's in computers, electronics, electrical engineering or PhD in relevant streams

• Understanding of the state-of-the-art computer vision, NLP and AI for imaging algorithms

• Experience in developing NLP algorithms, AI based Computer Vision applications

• Experience in NLP techniques for text representation (such as n-grams, bag of words, sentiment analysis etc), semantic extraction techniques, data structures and modeling

• Experience in using GenAI techniques like Agentic frameworks, Auto encoders, Transformers, LLMs, RAG Architecture

• Experience in CV based Deep Learning models like Unet, YOLO etc

• Experience with machine learning and deep learning frameworks, like PyTorch , Tensorflow, OpenCV

• Experience in Deep Learning frameworks like Pytorch, Tensorflow

• Excellent understanding of machine learning techniques and algorithmsu00A0like k-NN, SVM, Random Forest, privacy models,u00A0etc.

• Understandingu00A0exploratory data processing techniques such as cleaning and verifying the integrity of data used for analysis

• Experience in generating IP and new ideas/proposals

• Experience in appliedu00A0statistics skills, such as distributions, statistical testing, regression, etc.

• Experience in building and optimizing reactive and predictive modelsu00A0withu00A0Machine Learning techniques

• Experience with one or more analytic software tools or languages like Python, R

• Strong analytical, problem solving and communication skills

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.

About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.u2022 Learn more about .u2022 Discover .u2022 Learn more about .If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care .

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