Marketing Data Science - General Manager
Marketing Data Science - General Manager
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Job Description
Job Title
Marketing Data Science - General ManagerJob Description
Job Responsibilities:
Analyzes and synthesizes complex data sets to develop innovative solutions formulate advanced hypotheses and create sophisticated proof of concepts to validate and enhance analytical models.
Ensures the integrity and reliability of data through the implementation of robust validation protocols advanced data governance frameworks and comprehensive quality assurance processes working under limited supervision.
Participates in large-scale data mining projects utilizing cutting-edge algorithms AI and machine learning techniques to uncover deep insights and actionable intelligence from vast multi-source data sets.
Coordinates the end-to-end deployment and rigorous validation of data science solutions ensuring optimal performance seamless integration and alignment with enterprise systems and business processes.
Builds and optimizes scalable high-performance data pipelines and workflows using state-of-the-art big data technologies ensuring efficient handling and processing of large-scale data for advanced analytics.
Develops documents and disseminates advanced analytical methodologies and best practices ensuring reproducibility transparency and fostering cross-functional collaboration and knowledge sharing.
Evaluates and implements cutting-edge AI and machine learning techniques pioneering innovative approaches to address complex business challenges and drive strategic advancements in analytics.
Monitors maintains and continuously enhances the performance of deployed models conducting regular reviews updates and optimizations to ensure sustained accuracy relevance and business impact.
Identifies assesses and leads the implementation of advanced data science methodologies and technologies driving continuous innovation and elevating Philips analytics capabilities to new heights.
Guides junior data scientists and analysts providing expert advice training and fostering a culture of excellence continuous learning and professional growth within the data science team.
Participates in strategic initiatives to evaluate and integrate emerging technologies open-source tools and advanced data science frameworks ensuring Philips stays at the forefront of innovation and maintains a competitive edge in the analytics domain.
Minimum required Education:
Bachelors / Masters Degree in Computer Science Econometrics Artificial Intelligence Applied Mathematics Statistics or equivalent.
Minimum required Experience:
Minimum 15 years of experience with Bachelors OR Minimum 13 years of experience with Masters in areas such as Data Analytics Data Science Data Mining Artificial Intelligence Pattern Recognition or equivalent.
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 (RCA)
Data Quality Management Systems
Regulatory Compliance
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 companys facilities.
Field roles are most effectively done outside of the companys 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 wont 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 youre 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.
Required Experience:
Director
Employment Type
Full-Time
