

Senior Data Scientist
About the Job:
We are seeking a highly skilled and motivated Senior Data Scientist with 10+ years of hands on experience in predictive modelling to join our team. As a Machine Learning Expert, you will play a crucial role in developing and implementing cutting-edge models and algorithms to solve complex problems and generate high-quality outputs. You will collaborate with a multidisciplinary team of product owners, planners, engineers, and data scientists to explore innovative applications of generative AI across various domains.
Job Responsibilities:
Analyzes multifaceted and high-dimensional data problems, developing innovative solutions, formulating sophisticated hypotheses, creating advanced proof of concepts to validate & refine analytical models and implement solutions to business problems.
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.
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 finance function.
Build data-science and technology based algorithmic solutions to address business needs
Design large scale models using Regression, Linear Models Family, Time-series models.
Drive the collection of new data and the refinement of existing data sources
Analyze and interpret the results of analytics experiments
Applies a global approach to analytical solutions-both within a business area and across the enterprise
Ability to use data for Exploratory, descriptive, Inferential, Prescriptive, and Advanced Analytics
Ability to share dashboards, reports, and Analytical insights from data
Experience of having done visualization on large datasets – Preferred – added advantage Technical Knowledge and Skills required
Experience solving analytical problems using quantitative approaches
Passion for empirical research and for answering hard questions with data
Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources
Ability to apply a flexible analytic approach that allows for results at varying levels of precision
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Expert knowledge of an analysis tool such as Pyspark and Python.
Bachelor's / Master's Degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.
Minimum 10 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.
• 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
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 .
• Discover .
• Learn more about .
משרות נוספות שיכולות לעניין אותך

Your role:
You are the right fit if:
How we work together
This is a field role.
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 improve the lives of others.
The pay range for this position in AZ, AR, ID, IA, KS, KY, LA, ME, MS, MO, NE, NM, OK, SC, SD, TN, UT, or WV is $83,363 to $133,380
The pay range for this position in AL, CO, FL, GA, HI, IL, IN, MI, MN, NV, NH, NC, ND, OH, OR, PA, TX, VT, VA, WI, or WY is $87,750 to $140,400
The pay range for this position in AK, DE, MD, NY, RI, or WA is $92,138 to $147,420
The pay range for this position in CA, CT, DC, MA, or NJ is $98,280 to $157,248
No Sponsorship offered:
“US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa."
משרות נוספות שיכולות לעניין אותך

Data & Transformation Analyst — Cloudification & Software Hub
• Turn cross-BU data into decisions that improve cost, compliance, and speed for 3rd-party BOM Software and Cloud Products - standardizing components, preventing license/entitlement risk, and unlocking savings.
• Work daily with Product Owner(s), ServiceNow/Cloud engineers, Integration & Data Architects, Procurement (S2P/Category), R&D/PLM (Windchill), Finance, and Quality/Regulatory.
• Build depth in cloud data tooling and product analytics, sharpen program leadership (Agile/SAFe, PMP), and grow into a strategic PM/PO or Architecture-adjacent role.
Job Responsibilities:
• Apply data science/analytics to monitor and report KPIs specific to 3rd-party BOM software (usage by product/BOM, license & entitlement status, renewal risk, vendor spend, savings pipeline, standardization/adoption).
• Implement robust monitoring and controls in SHUB (ServiceNow) for catalog completeness, AVL checks (Windchill↔SAP), data quality rules, and compliance signals tied to BOM lineage.
• Partner with PM, Architects, and system owners to define data and mappings across Windchill, SAP, Azure Data Lake, and ServiceNow—ensuring lineage/traceability for BOM-scoped third-party software.
• Assists with medium-complexity projects related to digital transformation (features, integrations, dashboards), adhering to Agile and Project Management Professional (PMP) methodologies, ensuring successful delivery and stakeholder satisfaction.
• Identifies opportunities for process improvement using analytical insights, collaborating with Business Process Experts (BPEs) and senior management to drive efficiency, innovation, and strategic alignment.
• Enable adoption and change—prepare materials, run demos/UAT, coach engineers and buyers on how programs support software discovery, requests, and compliance.
You're the right fit if:
Bachelor's Degree/ Master's Degree in Business Administration or Management, Supply Chain Management, Data Analysis and Analytics, Engineering or equivalent.
Minimum 5 years of experience with Bachelor's OR minimum 3 years of experience with relevant Master's (Nice to have: experience with ServiceNow, PLM/ERP integration to Windchill/SAP, Azure Data Lake pipelines, and KPI/BI development in Power BI or Tableau.)
You're the right fit if:
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 .
• Discover .
• Learn more about .
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 .
משרות נוספות שיכולות לעניין אותך

AI Solution Architect
As an AI Solutions Architect within the AI Council, you will drive AI adoption across Innovation Engineering by identifying and prioritizing high-impact AI use cases, ranging from Generative AI to vision-based quality control and predictive analytics for factory optimization.
You will design and develop AI-enabled prototypes, providing hands-on technical expertise to engineering teams while aligning solutions with business objectives. Collaborating with stakeholders, you will create scalable AI architectures that integrate into hardware, systems, and software workflows. Your strategic influence ensures AI initiatives deliver measurable value, bridging business needs with technical execution.
Strategic Enablement
Drive adoption of(Gen)AI across Innovation Engineering by helping teams move from idea to impact
Identify high-value, feasible AI use cases in collaboration with domain experts and product owners
Serve as a trusted technical advisor to senior stakeholders and engineering leaders
Translate business objectives into actionable AI architectures and MVPs
olution Design
Design end-to-end AI solutions involving LLMs, prompt engineering,MCPs, agentsbut also non LLM application ofmachine learning fore.gvision, acoustics, mechatronicsand factoryapplications.As wellas data driven optimization in engineering workflows.
Select appropriate AI models (open source or commercial) and platforms.
Define technical blueprints and reusable components for use across the organization.Balancing “buy and make”;preferablyleveraging existing industry standard tooling over home grown solutions.
Execution & Governance
Guide cross-functional teams during development, testing, and deployment phases
Ensure compliance with Philips security, privacy, and regulatory standards
Promote best practices for model evaluation, prompt engineering, and human-in-the-loop feedback
Contribute to sharedGenAIstandards and reference implementations to scale impact
Ensure seamless integration, deployment, and operationalization of AI/ML solutions.
You're the right fit if:
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.
This role is an office-based role.
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 .
• Discover .
• Learn more about .
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 .
משרות נוספות שיכולות לעניין אותך

Job title:
Data Analyst- Design Quality Engineer
Your role:
You're the right fit if: (4 x bullets max)
1. Experience.- 8+ of industry experience in field of data analyst for Quality function, understand ISO 13485, preparing Dashboard and analysis.
2. Skills.- SQL, Python, Statistical Methodology, ML Experience
3. Education.- Any engineering
4. Anything else.- Good Communication and presentation skill, experience in SAP/Aries will be added advantage. This is an individual contributor role.
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 .
• Discover .
• Learn more about .
משרות נוספות שיכולות לעניין אותך

Skill needed to succeed in the job –
Onsite roles require full-time presence in the company’s facilities.• Learn more about .
• Discover .
• Learn more about .
משרות נוספות שיכולות לעניין אותך

You will act as a catalyst for change, working with leadership and teams at all levels to ensure that operational excellence becomes part of our daily rhythm. By combining proven lean methodologies with emerging digital and AI capabilities, you will enable faster decision-making, smarter problem-solving, and sustained competitive advantage.
Daily Management Excellence
Problem-Solving Maturity
Lean Deployment Leadership
AI & Digital Enablement for Excellence
Strategic and Operational Alignment
Capability Building & Cultural Change
Experience & Education
Core Competencies
AI & Digital Skills
Leadership & Communication
Onsite roles require full-time presence in the company’s facilities.
This role is an office-based role.
• Learn more about
• Discover
• Learn more about
משרות נוספות שיכולות לעניין אותך

Senior Data Scientist
About the Job:
We are seeking a highly skilled and motivated Senior Data Scientist with 10+ years of hands on experience in predictive modelling to join our team. As a Machine Learning Expert, you will play a crucial role in developing and implementing cutting-edge models and algorithms to solve complex problems and generate high-quality outputs. You will collaborate with a multidisciplinary team of product owners, planners, engineers, and data scientists to explore innovative applications of generative AI across various domains.
Job Responsibilities:
Analyzes multifaceted and high-dimensional data problems, developing innovative solutions, formulating sophisticated hypotheses, creating advanced proof of concepts to validate & refine analytical models and implement solutions to business problems.
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.
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 finance function.
Build data-science and technology based algorithmic solutions to address business needs
Design large scale models using Regression, Linear Models Family, Time-series models.
Drive the collection of new data and the refinement of existing data sources
Analyze and interpret the results of analytics experiments
Applies a global approach to analytical solutions-both within a business area and across the enterprise
Ability to use data for Exploratory, descriptive, Inferential, Prescriptive, and Advanced Analytics
Ability to share dashboards, reports, and Analytical insights from data
Experience of having done visualization on large datasets – Preferred – added advantage Technical Knowledge and Skills required
Experience solving analytical problems using quantitative approaches
Passion for empirical research and for answering hard questions with data
Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources
Ability to apply a flexible analytic approach that allows for results at varying levels of precision
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Expert knowledge of an analysis tool such as Pyspark and Python.
Bachelor's / Master's Degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.
Minimum 10 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.
• 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
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 .
• Discover .
• Learn more about .
משרות נוספות שיכולות לעניין אותך