Marketing Data Science General Manager @ Philips
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Job Details
Marketing Data Science General Manager
This role at Philips focuses on analyzing complex data sets to develop innovative solutions, validating analytical models, and deploying data science solutions. The candidate will ensure data integrity through robust governance frameworks and quality assurance processes.
Job Responsibilities
- Analyze and synthesize complex data sets to innovate solutions.
- Implement robust validation protocols and data governance frameworks.
- Participate in large-scale data mining using AI and machine learning.
- Deploy and validate data science solutions across enterprise systems.
- Build scalable data pipelines with advanced big data technologies.
- Develop and disseminate advanced analytical methodologies.
- Evaluate and implement cutting-edge AI and machine learning techniques.
- Monitor and enhance performance of deployed models.
- Lead implementation of new data science methodologies and technologies.
- Guide junior team members, fostering professional growth.
- Participate in strategic initiatives integrating emerging technologies.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Econometrics, AI, Applied Mathematics, Statistics or equivalent. Minimum 15 years experience with a Bachelor's or 13 years with a Master's in Data Analytics, Data Science, or related fields.
Preferred Skills
- Data Analysis & Interpretation
- Data Governance
- Statistical Methods
- Statistical Programming Software
- Business Intelligence Tools
- Data Mining
- Machine Learning Engineering Fundamentals
- Research & Analysis
- Requirements Analysis
- Root Cause Analysis
- Data Quality Management Systems
- Regulatory Compliance
How We Work Together
This position is office based with a requirement to work in-person at least 3 days per week. Some field roles may require visits to customers’ or suppliers’ locations.
About Philips
Philips is a health technology company dedicated to providing quality healthcare access for all. Their culture promotes impact and care, and they encourage candidates with many, but not all, of the required experiences to apply.
Key skills/competency
Marketing Data Science General Manager, Data Analysis, Data Governance, AI, Machine Learning, Data Mining, Data Pipelines, Statistical Methods, Quality Assurance, Strategic Initiatives, Team Leadership
How to Get Hired at Philips
🎯 Tips for Getting Hired
- Customize your resume: Highlight advanced data science accomplishments.
- Study Philips culture: Research mission, values, and recent news.
- Emphasize leadership: Detail mentorship and team management skills.
- Prepare technically: Review AI, machine learning, and big data techniques.