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(Opdateret 2020-03-05)Data Scientist
Lund, Sweden
Modersmål Svenska, Flydende English
- 15+years Statistical modeling
- 10+years Python
- 15+years R
Kvalifikationer (20)
STATISTICS
SEGMENTATION
STATISTICAL ANALYSIS
PREDICTIVE MODELING
PROTOTYPING
CLUSTERING
Data Analysis
MARKETING ANALYSIS
DATA ANALYTICS
Algorithm
PROTOTYPE
AI/ML
ANALYTICS PLATFORM
Data Scientist
Python
TRAINING
BEST PRACTICES
Data Management
DATA SOURCES
TRANSLATED
Professionel erfaring
2014-01 - Nuværende
predictive consumer behavior modeling, reporting, data analysis and data management.
Secondary project tracks involving supporting Thorax researchers at Skåne University hospital with Survival analysis and Competing Risk modelling on epidemiological data.
2014-07 - 2017-01
Team leader of an international team of 6 data scientists with various levels of experience.
Responsible for the analytics capabilities and driving the development of new analytics products.
Managed client relationships and translated needs to customized analytics solutions.
Responsible for planning and executing data analytics deliverables. Focusing on segmentation,
micro segmentation, predictive modeling and transforming various types of data to actionable
insights, with the main objective to improve targeting, value management, customer acquisition. and retention. Tech stack used were Knime & R for quick prototyping and Python for production
code.
2002-05 - 2013-12
development and consumer insight projects to mobile phone service providers and internal
Ericsson units.
Managed and analyzed data in various types of consumer insight and market research projects.
Transformed market research and other data sources to strategic and tactical insights using
various statistical models and methods such as multivariate analysis, clustering, regression,
price sensitivity analysis, max-diff, discriminant analysis, factor analysis, etc.
Responsible for project team, project deliverables and P&L management as well as managing
supplier deliverables and negotiating contracts. Responsible for training new staff in Ericsson
ConsumerLab's toolbox, ways of working and best practices.
Akademisk baggrund
1998-01 - 2002-01