EC Data Scientist L(3-10)

For out client EC we are looking for Data Scientist

1. DESCRIPTION OF THE TASKS

Following tasks will be performed by external service provider:
 Collect business requirement and develop advanced data mining solutions or identify,
assess and deploy relevant existing data mining, machine learning and business intelligence
solutions; in detail:
o To analyse user needs and requirements
o To identify and propose alternative implementations to support user requirements
o To architect a final system solution
o To contribute to the implementation of the identified architecture.
o To devise quality, security and architectural plans and assist in their implementation
 Develop specifications and design of presentation interfaces with optimal usability/user
experience; follow up with their implementation;
 Identify, collect, convert and update different data types/sets in several locations;
 Produces data models according to specific problems statements;
 Scripting and programming;
 Contribute to the design and implementation of the analytics architecture and its solution
stack (including performance aspects, physical design, capacity dimensions etc…)
 Write the different documentation associated with the tasks and liaise with other project
teams as necessary to address cross-project interdependencies.

2. KNOWLEDGE AND SKILLS

Following skills and knowledge are required for the performance of the above listed tasks:
 Excellent knowledge of Data Analytics techniques and tools, including the underpinning
mathematical concepts; a basic knowledge of multivariate data analysis and principal
component analysis is also desirable.
 Knowledge and experience in Machine Learning and Natural Language Processing.
 Knowledge in one of the following areas is desirable: predictive (forecasting,
recommendation), prescriptive (simulation), sentiment analysis, topic detection, social
media crawling and processing, trends/anomalies detection in datasets, recommendation
systems
 Knowledge and experience with platforms for statistical computing (e.g. R, SAS, SPSS,
STATA)
 Good knowledge of business intelligence and data visualization tools (e.g. SAP, Business
Objects, Tableau)
 Knowledge of Extract, transform, and load (ETL) processes and tools (e.g. Talend Open
Studio)
 Good knowledge of relational and non-relational (NoSQL) Database Architectures and
SQL tooling (e.g. NoSQL DB, MongoDB, Hadoop, MySQL, Postgres SQL, MS SQL Server)
 Knowledge of architectural design and implementation of scalable modern data stores
(including Elasticsearch).
 Knowledge of Web Application Architectures, including Frontend Technologies (e.g.
JavaScript, HTML5, CSS3, and APIs for sync/async communication) and Backend
Technologies (e.g. Python, .Net/C#, Node.js/Express.js, Spring Boot/Java)
 Experience with scripting languages (e.g. Python, JavaScript).
 Knowledge of Unix
 Experience in continuous code delivery and unit testing, including containerization and
orchestration platforms (DevOps methods such as Continuous Integration and Continuous
Deployment, using e.g. GitLab and OpenShift)
 Ability to work in a team as well as autonomously
 Results-oriented mindset, focused on delivering
 Good communication skills in English, both orally and in written form
 Ability to work efficiently and fast
 Ability to give business and technical presentations
 Ability to apply high quality standards
 Ability to cope with fast changing technologies
 Very good communication skills with technical and non-technical audiences
 Analysis and problem-solving skills
 Capability to write clear and structured technical documents
 Ability to participate in technical meetings and good communication skills

3. Specific Expertise

4. Certification and Standards

N/A

5. Service Delivery

The services shall be performed on Commission premises in JRC Centre, Ispra, Italy.
The remote service provision (home-working) may be agreed for tasks not requiring the
presence onsite. Laptop will be provided by the Commission.