Philips Data Scientist Analytics in Haifa, Israel
Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products via automate scoring using machine learning techniques.
Roles and Responsibilities:
Understand the business needs and challenges
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
Skills, Qualifications and Education:
A MSc or PhD in Computer Science, mathematics, statistics or another relevant area;
3 + years of preferably applied research experience in the domain of data management and analytics, and affinity to the research way of working;
Hands-on experience with data analysis techniques (such as clustering, statistical analysis, pattern recognition, data integration, data modeling, classifiers and recommenders).
Experience with common data science toolkits and modeling tools (such as R, Python, Knime, MatLab. Excellence in at least one of these is highly desirable).
Experience in applying machine learning algorithms to real-life data.
Experience in Hadoop, Spark and Hive.
Good scripting and programming skills to integrate the solution within the product.
Experience with data visualization tools.
Good understanding of design and architecture principles.
Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing;
Being able to create examples, prototypes, demonstrations to help management better understand the scope of work and the implications of the work on the organization;
Capable to develop and proficiently query SQL and non-SQL databases;
Good applied statistics skills (such as distributions, statistical testing, regression, etc).
Good communication and interpersonal skills, with the ability to build strong personal relationships at all levels, both internal and external to Philips; with customers, obtain their user needs and be able to transform those into practical solutions;
Being able to work autonomously.
Team worker in multidisciplinary and international settings, able to adapt quickly;
Curious, proactive, fast learner able to quickly picking up new areas.
Vocational English in writing and speaking