With the exception of independent contractors, applicants for this role will be engaged through Randstad company. When making this application your details will be automatically shared with Randstad company for registration with them, who may also contact you about other opportunities with other clients.


Data Scientist (Junior)

Posted Feb 17, 2020
Project ID: PHILJP00021455
Eindhoven , Noord Brabant
10 months
(Mar 2, 2020 - Dec 31, 2020)
40 hrs/week
Payrate range
40 - 60 €/hr

Several projects in enabling functions requiring data scientist expertise

In this role, you have the opportunity to
Combine a passion for meaningful advanced analytic tools and techniques with a can-do personality willing to explore new opportunities to drive meaningful analytic insights at Philips.

You are responsible for
Staying up to date with the latest technologies, techniques;
Proactively exploring new data science and advanced analytic opportunities at Philips and relaying these proposals to potential stakeholders;
Interacting closely with the business to understand and translate requirements or identify opportunities;
Data exploration, mining, cleansing activities (including extending companies data with 3rd party sources where applicable);
Selecting features, building and optimizing classifiers;
Recognizing appropriate approaches and building and optimizing tools;
Working with consultants and/or analysts to translate results into business value/impact and present results to our stakeholders in a clear manner.

You are a part of
Our fast-growing Insights and Analytics team, located between The Netherlands and India, that builds solutions for Enabling Functions at Philips. Working in a team together with solution developers and analysts/consultants, you will work closely with business partners to translate business needs and requirements into advanced analytics solutions and/or explore new opportunities to expand our AI&ML project portfolio with new value-adding use cases.

To succeed in this role, you should have the following skills and experience
A Master's degree in Computer Science, Mathematics, Econometrics, Statistics Information Management/Systems;
Excellent understanding of statistical analysis skills, such as distributions, regression, etc.
Experience with common data science toolkits, preferably based on the Azure platform
Experience with the application of artificial intelligence & machine learning tools to solve business problems;
Worked in an agile (scrum) environment with globally distributed teams;
Business acumen and articulation skills; ability to capture business needs and translate into a viable, value-adding solution;
Good communication, presentation, and documentation skills
Min. of 2 year of experience

Must haves:
Data scientist related study on WO level, very communicative in English.
Experience with Azure Databricks.

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