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Role Purpose
Data Science is and will increase to be a key contributor to business process optimization and increased customer experience, as all processes are underpinned by data these days. Extracting meaningful insights, predictions, and automation possibilities from this data requires data scientists. The Data Scientist will identify, develop, and implement prototypes for the business users and deploy best practices to optimize processes, systems, and methods using relevant data.
The role will be based in Maastricht (NL), alternatively this role can be based in Bonn (DE).
•Execution of data analytics projects with very limited or no guidance from a supervisor/project lead.
•Analysis of the business processes as well as the derivation of problem areas and analytical requirements.
•Sourcing initial cleansing and preparation of large amounts of data. Identification and collection of required data, as well as data cleansing.
•Develop statistical/mathematical models (e.g., time series analyses, operations research methods, machine learning).
•Develop implementation data pipelines. Modify data analysts' code to prepare for deployment.
•Clarify data needs and take action with the IT organization.
•Support the identification of more efficient ways to store, source, query, and activate data.
•Contribute to process improvement in the working area.
•Deploy best practices to optimize processes, systems, and methods using relevant data.
•Support the definition of project contents, deliverables, and timelines of data analytics projects in terms of data needs.
•Source, prepare, pre-analyze, and cleanse data as per business needs.
•Largely independent preparation and presentation of results and implications of Data Analytics projects.
•Manage contact with internal and external customers on data analytics topics at the work and specialist level and with middle management in the context of current and future analytics projects.
•Support in onboarding and coaching junior data science and engineering colleagues as part of the project.
•Actively contribute to team responsibilities and support business development activities on request.
•Produce accurate outcomes of analytics tasks and communicate as such (accurate does not imply success).
•Manage contact with internal and external customers on data analytics topics at the work and specialist level.
•Manage contact with middle management in the context of current and future analytics projects.
•Relationship management with business departments about relevant analytics topics, as well as internal and external expert networks in the data analytics field.
•Expert in building applications and data visualizations that help your user create insights about their processes
•Strong background in PowerBI and user interfaces
•You are interested in creating the best possible user experience
•Expert in distributed data bases and cloud computing infrastructures.
•Hands-on experience with JSON structures, MongoDB and able to deal with SQL with no effort.
Do you have what it takes?- University degree in Mathematics, Statistics, Physics, Computer Science, or related natural sciences / technical degree, or comparable qualification.
- Deep knowledge of machine learning, statistics, and/or mathematical optimization.
- Being familiar with analyzing complex datasets and building mathematical models (theoretical or practical).
- Having programming skills or experience in scripting languages (Python, R, or Java).
- Ability to produce creative analytical solutions based on clear and thorough analyses of complex processes and business relationships.
- Comfortable explaining complex analytical and technical content to various audiences.
- Strong team player, energetic, and success-oriented problem solver.
- Independent work ethic, integrity, and loyalty, positive "can-do" attitude.
What's in it for you?
You will work in a great place, as DHL Express is a certified Great Place To Work. This means you will work in an environment where trust and safety are core values! Next to this, we also offer:
- A competitive salary, bonus incentives and a strong pension scheme;
- Great onboarding and an intensive 100 days induction program;
- A wide range of employee benefits that support your wellbeing;
- Availability of a wide range of training and development packages;
- Social events;
- A job within a company that pays attention to our environment and future;
- RCS Grade J
Interested? Please apply by sending us your CV and motivational letter.
DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic☸ DHL Finance Services B.V. Pierre de Coubertinweg 5, 6225 XTBob StijnenTalent Acquisition and Development ExpertDHL Finance Services B.V.Pierre de Coubertinweg 5
6225 XT Maastricht