Job Description
**Job title: Senior Data Scientist**
**Job Responsibilities:**
* Analyzes multifaceted and high-dimensional data problems, developing innovative solutions, formulating sophisticated hypotheses, and creating advanced proof of concepts to validate and refine analytical models.
* Ensures the highest standards of data quality, accuracy, and reliability by designing and implementing rigorous validation protocols, advanced data cleansing techniques, and comprehensive quality control measures, working under limited supervision.
* Leverages GenAI and able to orchestrate multiple tools within Enterprise through integration via Databricks, MCP Server, External tools and more. Candidates should have worked hands-on in GenAI projects and be able to develop agents using state of the art models and new agentic frameworks.
* Participates in end-to-end data mining projects, utilizing advanced algorithms, machine learning models, and AI techniques to extract deep and actionable insights from complex, large-scale data sources.
* Executes the deployment and rigorous testing of data science solutions and insights, ensuring optimal performance, scalability, and seamless integration with existing enterprise systems and workflows.
* Maintains robust, scalable data pipelines and workflows, leveraging cutting-edge big data technologies and database management systems to support advanced analytics and machine learning projects.
* Develops, documents, and disseminates comprehensive methodologies, processes, and analytical findings, ensuring transparency, reproducibility, and facilitating cross-functional knowledge sharing and collaboration.
* Evaluates and implements state-of-the-art machine learning and AI techniques, continuously researching and applying novel approaches to solve highly complex business problems and drive strategic innovation within Philips.
* Presents complex data-driven insights and strategic recommendations to senior stakeholders, effectively translating intricate analytical results into clear, actionable business strategies and influencing key decision-making processes.
* Monitors, maintains, and continuously improves the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact.
* Interacts and collaborates with cross-functional teams, including IT, data engineering, and various business units, to ensure the successful operationalization, integration, and scaling of data science solutions across the organization.
* Candidate would be involved in end to end engagement from requirements gathering to building ETL pipelines and involve in engineering data and insights appropriate to the end user with enterprise approved tools. Candidates need to wear the hat of a data engineer, analyst, solution architecture and a data scientist to be able to produce the right insights for stakeholders.
**Minimum required Education:**
Bachelor's / Master's Degree in Computer Science, IT, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.
**Minimum required Experience:**
Minimum 8+ years of experience with Bachelor's in areas such as Data Analytics, Data Science, Data Mining, Artificial Intelligence, Pattern Recognition or equivalent OR no prior experience required with Master's Degree.
**Preferred Experience:**
Python, Application integration, Cloud technologies like MS Azure, AWS, Docker, Kubernetes etc..
**Preferred Skills:**
* Data Analysis & Interpretation
* Cloud platforms - Azure, AWS, GCP
* Data Governance
* Statistical Methods
* Python
* 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 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.
**Job Responsibilities:**
* Analyzes multifaceted and high-dimensional data problems, developing innovative solutions, formulating sophisticated hypotheses, and creating advanced proof of concepts to validate and refine analytical models.
* Ensures the highest standards of data quality, accuracy, and reliability by designing and implementing rigorous validation protocols, advanced data cleansing techniques, and comprehensive quality control measures, working under limited supervision.
* Leverages GenAI and able to orchestrate multiple tools within Enterprise through integration via Databricks, MCP Server, External tools and more. Candidates should have worked hands-on in GenAI projects and be able to develop agents using state of the art models and new agentic frameworks.
* Participates in end-to-end data mining projects, utilizing advanced algorithms, machine learning models, and AI techniques to extract deep and actionable insights from complex, large-scale data sources.
* Executes the deployment and rigorous testing of data science solutions and insights, ensuring optimal performance, scalability, and seamless integration with existing enterprise systems and workflows.
* Maintains robust, scalable data pipelines and workflows, leveraging cutting-edge big data technologies and database management systems to support advanced analytics and machine learning projects.
* Develops, documents, and disseminates comprehensive methodologies, processes, and analytical findings, ensuring transparency, reproducibility, and facilitating cross-functional knowledge sharing and collaboration.
* Evaluates and implements state-of-the-art machine learning and AI techniques, continuously researching and applying novel approaches to solve highly complex business problems and drive strategic innovation within Philips.
* Presents complex data-driven insights and strategic recommendations to senior stakeholders, effectively translating intricate analytical results into clear, actionable business strategies and influencing key decision-making processes.
* Monitors, maintains, and continuously improves the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact.
* Interacts and collaborates with cross-functional teams, including IT, data engineering, and various business units, to ensure the successful operationalization, integration, and scaling of data science solutions across the organization.
* Candidate would be involved in end to end engagement from requirements gathering to building ETL pipelines and involve in engineering data and insights appropriate to the end user with enterprise approved tools. Candidates need to wear the hat of a data engineer, analyst, solution architecture and a data scientist to be able to produce the right insights for stakeholders.
**Minimum required Education:**
Bachelor's / Master's Degree in Computer Science, IT, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.
**Minimum required Experience:**
Minimum 8+ years of experience with Bachelor's in areas such as Data Analytics, Data Science, Data Mining, Artificial Intelligence, Pattern Recognition or equivalent OR no prior experience required with Master's Degree.
**Preferred Experience:**
Python, Application integration, Cloud technologies like MS Azure, AWS, Docker, Kubernetes etc..
**Preferred Skills:**
* Data Analysis & Interpretation
* Cloud platforms - Azure, AWS, GCP
* Data Governance
* Statistical Methods
* Python
* 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 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.
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