Job Title Data Scientist - Deputy ManagerJob title: Data Scientist - Deputy Manager:
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 xe2x80x93 Preferred xe2x80x93 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 companyxe2x80x99s facilities. Field roles are most effectively done outside of the companyxe2x80x99s main facilities, generally at the customersxe2x80x99 or suppliersxe2x80x99 locations.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.
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If youxe2x80x99re 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 .