Data Scientist

Amsterdam - Noord Holland - Nederland - Services - IT & Telecom - Database Management - Phd./ Doctoraat

We are looking for a data scientist that will help our clients discover the information hidden in vast amounts of data and help them make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems. The specific tasks and responsibilities will be dependent on the client projects, such as big data statistical analysis and applied machine learning. Our shared goal is to support our clients as they improve their own capabilities to create value from massive data analytics.

Vragen? Neem contact op

Amanda Linger, Consultant

Solliciteer

Over deze functie

  • You will be assigned to research projects on behalf of Pretty Good Knowledge or assigned directly to support the data science capababilities of our clients through Brunel Data Science.
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Developing prototypes and solution architectures based on client demands
  • 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. Some assignments may require a security clearance
  • Supporting the sales department in acquisition
  • Contribute to ongoing improvement of the Pretty Good Architecture and Pretty Good Academy
  • Specific responsibilities will be dependent on the client requirement

Over jou

  • Degree in data science, computer science, artificial intelligence, mathematics, or a related field
  • Successful work experience as a Data Scientist in an Agile setting
  • Excellent understanding of machine learning techniques and algorithms, as well as good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Experience with common data science toolkits, such as R, Python, etc.
  • Experience with SQL, Hadoop or other database analysis software
  • Knows how to apply effective, multi-media data manipulation techniques to produce high-quality outputs
  • Good scripting and programming skills
  • Experience with visualisation tools
  • Strong affinity with data security and data privacy concepts
  • Analytical thinking and creative problem-solving
  • Ability to be a self-starter and thrive in a complex environment
  • Ability to simplify complex ideas for non-experts to comprehend
  • Strong communication skills in English (some clients may require Dutch or other language proficiency)

Wat wij bieden

Being a data scientist with Pretty Good Knowledge means that you will have an employment contract with Brunel. You can count on us:

  • Plenty of room to further develop as a specialist - in breadth and depth
  • A tailor-made training program, including the Pretty Good Academy
  • A favorable pension scheme. So that you are doing well now, and later on
  • Collective discounts on individual insurance policies
  • Nice extras in cultural and sporting areas. There is more than work alone
  • In short, you can realize your dreams and ambitions and give your career a boost

Over ons

Pretty Good Knowledge is on a mission to help organisations to achieve control and confidence about the knowledge and insights they extract from ever-growing sources of data. We work closely with clients to improve their capabilities in massive data analytics while ensure their data is highly secure they are able to respect the increasing demands on privacy. Our methods are based on proven techniques from the intelligence industry and we deploy these capabilities with the project team members of our clients. Pretty Good Knowledge is a Brunel company.

Samenvatting

  • Vacature nummer: PUB173978
  • Standplaats: Amsterdam
  • Markt: Services
  • Uren per week: 40
  • Branche: IT & Telecom
  • Opleidingsniveau: Phd./ Doctoraat
  • Expertisegebied: Database Management
  • Sluitingsdatum: zondag 30 september 2018
Solliciteer

Vragen? Neem contact op

AL

Amanda Linger

Consultant Brunel Netherlands Amsterdam

+31 20 312 5067

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