Data Scientist - II

Job Title: Data Scientist - II

Job Responsibilities:
• Collaborates extensively on AI DevOps activities, leveraging multiple tool sets at the solution level to streamline development, testing, deployment, and monitoring processes with moderate complexity.
• Participates in discussions related to technical requirements, designs, and quality standards, providing inputs to ensure the robustness, scalability, and maintainability of AI solutions, working under direct supervision.
• Integrates deployable versions of machine learning models developed by data scientists into end products, ensuring compatibility, performance, and reliability of all system components.
• Handles data processing activities, including data cleansing, validation, and verification, to ensure the integrity and quality of data used for analysis and model training, with a focus on continuous improvement.
• Trains and retrains AI systems as necessary to adapt to changing data distributions, business requirements, and performance objectives, optimizing model performance through iterative refinement.
• Performs statistical analysis and fine-tuning of AI models using test results, hypothesis testing, and validation techniques to validate model assumptions, identify areas for improvement, and optimize model parameters.
• Contributes to activities within the DevOps team, providing guidance, mentorship, and support to junior team members, and facilitating collaboration and knowledge sharing across the team.
• Participates in the AI development process, working in pairing mode with equal team members, and actively contributing to requirements gathering, design discussions, code reviews, and quality assurance activities.
• Interacts with business, market, and IT stakeholders to formulate clear and actionable requirements for AI solutions, ensuring alignment with business goals, user needs, and technical capabilities.
• Ensures the quality of data and AI solutions developed, conducting thorough testing, validation, and verification activities to identify and address defects, errors, and performance issues before deployment.
Minimum required Education:
Bachelor's Degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics OR Vocational Education in Information Technology or equivalent.
Minimum required Experience:
Minimum 4 years of experience in AI and Data Science with Vocational Education in areas such as Data Science, AI Modeling or equivalent.
Preferred Experience:
Experience in using programming languages such as Python, R, JAVA, C/C++
Preferred Certification:
Artificial Intelligence Board of America (ARTiBA) certified
Preferred Skills:
• Troubleshooting
• Data Analytics
• Statistical Methods
• Data Harmonization & Processing
• Cybersecurity
• Artificial Intelligence (AI)
• Scripting & Automation
• AI Algorithm Development
• DevOps
• Software Development Life Cycle (SDLC)
• Business Acumen
• Data Governance
• Continuous Improvement
• Requirements Gathering
• Verification Testing

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.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.

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.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
If you’re 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 here.