Data Engineering Expert jobs at Philips in India, Chennai
Philips Senior Data Scientist India, Tamil Nadu, Chennai
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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.
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Philips Proactive/Connectivity Expert MR CT India, Tamil Nadu, Chennai
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Your role:
The Proactive / Connectivity Expert will be the Engineering specialist for their respective modality, such as MR, CT
Must demonstrate technical competency for remote support.
They will remain updated abreast with the latest technological developments of the modality in the market and appraise the organization with such developments & related competitive information.
They will be the nodal point for the technical issues faced in zone for their respective modality.
RSN or other available remote tools & suggestions to field team
Alert handling, Pro-active monitoring.
You're the right fit if:
BE/B.Tech in Electronics/Electricals/Instrumentations engineering
Minimum 1-2 years of experience in the remote service of specific product lines
Deep knowledge of all delivery KPI’s and ensure performance within target Call Analysis.
Technical analysis for identifying any failure pattern & timely brainstorming for same.
Remote Diagnostics – must have the capability to prepare repair plan based on log analysis.
Must demonstrate skillset for usage of PRS tools.
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.
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Philips Proactive / Connectivity Expert - MR CT India, Tamil Nadu, Chennai
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Your role:
The Proactive / Connectivity Expert will be the Engineering specialist for his respective modality such as CT / AMI, MRI.
Must demonstrate technical competency for remote support.
He / She will remain updated abreast with the latest technological developments of the modality in the market and appraise the organization with such developments & related competitive information.
He / She will be the nodal point for the technical issues faced in zone for their respective modality.
RSN or other available remote tools & suggestions to field team
Alert handling, Pro-active monitoring.
You're the right fit if:
KPI’s – Deep knowledge for all delivery KPI’s and ensure performance within targetCall Analysis.
Technical analysis for identifying any failure pattern & timely brainstorming for same.
Remote Diagnostics – must have capability to prepare repair plan based on log analysis.
Must demonstrate skillset for usage of PRS tools.
Indicate if this role is an office/field/onsite 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 .
These jobs might be a good fit
Philips Data Engineering Expert India, Tamil Nadu, Chennai
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Your role:
As a Data Engineer Expert, you will be instrumental in designing, developing and maintaining robust data pipelines and systems to support patient safety and quality activities. You will work primarily with product and post market surveillance data, utilizing Azure and Databricks to ensure that we can monitor the performance of devices while meeting regulatory requirements.
Design, Build, and Maintain Data Pipelines : Develop and maintain scalable, reliable, and efficient ETL (Extract, Transform, Load) pipelines using Azure tools and Databricks to handle large datasets from medical devices in the field.
Data Integration : Integrate data from various sources (e.g., medical devices, regulatory systems, clinical databases) into centralized data lakes or data warehouses using Azure Data Factory, Databricks, and other relevant tools.
Collaborate and work with Cross-Functional Teams : Work closely with clinical, regulatory, and quality assurance teams to ensure that data collected meets regulatory requirements (e.g., FDA, ISO 13485, MDR) and supports post-market surveillance activities.
Data Security and Compliance : Ensure all data systems comply with industry regulations and data privacy standards.
Continuous Improvement: Stay up-to-date with the latest advancements in data engineering, cloud technologies (specifically Azure), and medical device industry trends, and proactively suggest improvements to existing systems.
You're the Right Fit If You Have:
A Master’s degree in Computer Science, Data Science, or a related field.
A Minimum of 6-7 years of experience as a Data Engineer or in a related role, with a focus on data integration, ETL processes, and database management.
Strong proficiency in Python and SQL, with hands-on experience in writing complex SQL queries and Python scripts for data processing.- MANDATORY
Experience with Azure cloud services, including Azure Data Factory, Azure SQL Database, Azure Data lake and Databricks.
Our hybrid working model is defined in 3 ways:
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Philips Quality Data Analytics Manager India, Tamil Nadu, Chennai
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Responsibilities
- Measures, analyzes, and strategizes improvement in Operations via Data Science algorithms
- Leads development and usage of data science models (such as forecasting, regression and simulation) to support better decisions and improve performance of Hubs and Functions
- Ability to develop and deliver analytics awareness raising programs to maximize organization benefits. Ability to provide strategic advises to senior executives.
Provide leadership across technical projects leveraging internal data assets and external data. - Run full lifecycle of Analytics projects, providing rigorous, impartial feedback, measurement advice for action, and thought leadership.
- Drive excellent practices and technical standards for establishing data science driven root causes of performance measures and improvement plans for Operations. Should be adept at developing information suites (Dashboards, reports, visualizations) fit for C-level consumption.
- Leverage our data to scale our ability to optimize Operational performance through analysis, modelling, experiments and pre-post analyses.
- When required, interact with FDA and participate in Notified Body audits and inspections with favorable outcomes.
Technical Knowledge and Skills required
- In depth understanding of all applicable tools and advanced skills in programing like Python, R, SAS etc.
- Excellent in data acquisition, preprocessing, modeling & deployment
- Excellent in critical thinking and problem-solving using analytics approach (including design of experiments) as well as basic ideas of Project Management
- Able to critically evaluate, analyze complex business information from multiple perspectives to make strategic decisions
- In-depth understanding of all stages of projects and identify relevant resources. Negotiates with stakeholders and suppliers to identify best practice outcomes
- Track record in delivering strong and impactful insights
- Thorough understanding of financial metrics used to benchmark competitors
- High affinity with applying new IT platforms / dash boarding software tools for reporting and experience in a complex, matrixed, multinational environment
- Strong background into Database design, modeling and architecture
- Strong background of development/management of platforms such as Power Apps, Power BI, Qlik, QlikSense, etc.
- Experienced knowledge of global medical device regulations, requirements, and standards, such as FDA, ISO13485, ISO14971, and EUMDR.
Analytics solution life cycle competencies required
- Extensive knowledge of analytics principles; practiced and applied across areas of data wrangling, ML, recalibration and model deployment.
- Ability to develop and deliver data awareness raising programs to maximize organization benefits.
- Ability to provide strategic advises to senior executives.
- Provide leadership across technical projects leveraging internal data assets and external data.
Soft Skills Required
- Good communication and presentation skills
- Highly driven, energetic, flexible, resourceful & ability to multitask
- Clarity of thoughts and vision
- Ability to ideate and bring solutions to the table
- Adherence to timelines, without sacrificing quality of output
- Hands on and detail oriented, with a strong ability to co-ordinate across different Geographies and with different stakeholders at Exec and Director/Sr. Director levels
Work Experience
- 12+ years of increasingly responsible experience in analytics & data science roles,
- 6 to 8 years of people or project management experience.
- At least 5 years of experience in medical device, pharma, or other regulated industry required with an emphasis quality compliance/roles
Academics
- MBA /BTech-BE from IIT/NITs or Tier 1 engineering schools only, MStat/MS (Math)/MA Econ from Tier 1 schools, MS Analytics from Tier 1 schools
- MSc degree in a quantitative discipline, e.g., Math, Statistics, Physics, Operations Research,Economics, Econometrics
- Established publication record in Q1 scientific journals or equivalent(i.e something to demonstrate application of data science skills and staying state-of-the-art)
Indicate if this role is an office/field/onsite 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 .
These jobs might be a good fit
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 .
These jobs might be a good fit
