Data Scientist Performance Analytics

Job title:
Data Scientist - Performance Analytics

Your role:
The Senior Data Scientist - Performance Analytics combines hands-on data science analytics-product development and commercial understanding to help Philips monitor explain and predict business performance. The role partners with assigned Business Regional or Functional teams and owns defined analytics workstreams from problem framing and data preparation through deployment and adoption. Working within established architecture and governance standards the role develops trusted dashboards predictive models and AI-enabled decision-support tools that improve the speed and quality of business decisions.

Job Responsibilities

1. Performance Analytics and Business Partnering

Translate business priorities and performance questions into clear analytical requirements and success measures.

Analyze market share sell-in sell-out revenue margin customer channel portfolio and operational performance.

Identify drivers risks and opportunities and communicate findings through concise narratives and practical recommendations.

Support business reviews planning cycles and performance-management processes with evidence-based insights.

2. Data Foundations and Analytics Products

Prepare integrate and validate data from approved internal and external sources using Python SQL and enterprise data platforms.

Collaborate with Data Engineering IT and business teams to improve trusted datasets in ADL and related environments.

Build and enhance dashboards and analytical products with diagnostics alerts benchmarks and decision-support features.

Document data sources business rules calculations assumptions and known limitations.

3. Advanced Analytics and AI

Apply statistical and machine-learning methods including regression classification clustering forecasting and anomaly detection.

Develop validate and monitor models for accuracy stability explainability and business relevance.

Contribute to AI-enabled solutions such as automated commentary conversational analytics retrieval-based tools and analytical agents.

Follow Philips standards for responsible AI security privacy and model controls.

4. Deployment and Engineering

Work with Lead Data Scientists data engineers IT and platform teams to productionize analytical solutions.

Write clean modular and reusable code using version control testing and peer-review practices.

Support user acceptance testing deployment monitoring and resolution of data or technical issues.

Contribute reusable components and improvements to shared analytical methods and frameworks.

5. Adoption and Knowledge Sharing

Drive adoption through demonstrations training user documentation and regular stakeholder engagement.

Gather user feedback and translate it into product improvements.

Share methods code and lessons with the analytics community and coach junior colleagues where appropriate.

Success Measures

Timely and high-quality delivery of assigned analytics products and workstreams.

Accuracy reliability and business relevance of analytical and AI outputs.

Adoption and active use of dashboards models and AI-enabled tools.

Reduction in manual analysis repetitive reporting and duplicated solutions.

Measurable contribution to faster higher-quality business decisions and outcomes.

Compliance with data technology and responsible-AI standards supported by effective cross-functional collaboration.

Youre the right fit if:

Experience

Approximately 4-7 years of relevant experience in data science advanced analytics commercial analytics business intelligence or a related discipline.

Experience translating business questions into structured analytical solutions and clear recommendations.

Experience developing and deploying dashboards predictive models data products automated insights or AI-enabled tools.

Experience working with complex datasets and cross-functional matrixed or multi-market stakeholders.

Technical and Analytical Skills

Strong proficiency in Python and SQL with practical experience in data preparation exploratory analysis and statistical modelling.

Working knowledge of machine-learning methods and model evaluation.

Experience with a business-intelligence or visualization platform such as Power BI or Qlik.

Familiarity with cloud data platforms data lakes or enterprise analytics environments such as ADL.

Working knowledge of version control testing documentation and reproducible analytical-development practices.

Basic understanding of generative AI large language models retrieval-based solutions and responsible-AI principles.

Business and Partnering Skills

Sound commercial and financial understanding supported by strong problem-solving and root-cause-analysis skills.

Ability to connect analytical findings with business performance and practical management actions.

Ability to communicate complex technical concepts clearly to non-technical stakeholders.

Ability to independently manage a defined analytics workstream and collaborate across Business Analytics IT Finance and Data Engineering teams.

Minimum Required Education

Bachelors or Masters degree in Computer Science Data Science Econometrics Artificial Intelligence Applied Mathematics Statistics Engineering Business Analytics or a related quantitative discipline. Equivalent practical experience may also be considered.

Preferred Experience

Experience in commercial sales marketing finance customer pricing or market-performance analytics.

Experience with Azure Databricks ADL or comparable cloud data platforms.

Exposure to production machine learning MLOps generative-AI applications or analytical agents.

Experience in a global consumer healthcare retail technology or manufacturing organization.


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.

About Philips
Are you ready to do the work of your life to help the lives of others Learn more about our business discover our rich and exciting history and 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.