Data Scientist - Deputy Manager
Data Scientist - Deputy Manager
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Job Description
Job Title
Data Scientist - Deputy ManagerJob Description
Job title: Data Scientist - Deputy Manager
Your role:
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 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.
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
Youre the right fit if: (4 x bullets max)
- 5 - 8 years of experience with engineering or equivalent background
- Experience with 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 companys facilities.
Field roles are most effectively done outside of the companys 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 wont 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 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 here.
Required Experience:
Manager
Employment Type
Full-Time
