Data Scientist - Deputy Manager

Job Description

• Implements solutions to problems using data analysis, data mining, optimization tools and machine learning techniques and statistics

• Build data-science and technology based algorithmic solutions to address business needs

• Design large scale models using Logistic Regression, Linear Models Family, Time-series models, Text mining

• 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 R, Python, Matlab, or SAS

• Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)

• Familiarity with relational databases and SQL

Technical Knowledge and Skills required

• Experience solving analytical problems using quantitative approaches

• 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 R, Python

• Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)

• Familiarity with relational databases and SQL

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 commitment to diversity and inclusion here.