Data Scientist - Optimization

DHL Express - a company that connects people!

What makes DHL great? Our People! We know each employee’s individual contributions make us the #1 Express Delivery and Logistics Company in the world. Distinguished as No.1 World’s Best Workplace™ by Great Place to Work and Fortune Magazine, DHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business.

Our corporate culture is about personal commitment – to our business, to each other and to our global communities. DHL is dedicated to being a great place to work. Start YOUR career with DHL today at our DHL Maastricht location, which is DHL Express’ finance expertise center, from which high-quality and complex financial services are provided for the region and steered globally by the global process owners.

This Shared Service Center offers employment to over 550 employees, with 40 nationalities, who speak 34 languages. We are looking for a Data Scientist - Optimization to join our team.

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.

How will you contribute to the success of DHL?

Derive analytical and data requirements from business needs & objectives.

Cleanse, analyze, and report on different datasets from any function within the company.

Interpret and visualize analytical results for business partners and other non-technical stakeholders.

Develop statistical and/or optimization models (e.g., machine learning, deep learning, linear programming).

Create solution prototypes for business users to experiment. Identify new use cases for the application of advanced analytics and facilitate a data-driven culture.

Produce accurate outcomes on analytics tasks, ensuring reproducibility and precision of results.

Do you have what it takes?

Experience in applying Optimization / Operations Research techniques (e.g. Linear Programming, Metaheuristic Optimization, Swarm Intelligence, …) to complex large-scale problems

Experience with using libraries such as such as Gurobi, Pulp or CPlex in combination with Python programming

Experience with REST services and deployment of services in IT environments

Experienced in analyzing large and complex datasets coming from different functions

Knowledgeable about statistics, data visualization, machine learning

Able to produce creative analytical solutions based on clear and thorough analyses of complex processes and business relationships

Experienced in using our standard analytics tools such as: Python / Jupyter Lab, SQL and NoSQL, Power BI

Comfortable in explaining complex analytical and technical content to various audiences

Experience supporting and working with cross-functional teams in a dynamic and international environment

Energetic team player with a positive ‘can do’ attitude

Success-oriented problem solver

Independent work ethic, integrity and loyalty

As a plus: Able to write simple web applications for users to test models / visualize results (e.g. Flask)

Able to structure an optimized (relational) database

Able to connect various data sources and preprocess raw data files (e.g. XML/JSON)

Able to containerize applications for automated deployment

Have software engineering skills

Experience with Spark / Hadoop

Able to write efficient, production-level Python code

University Degree in a quantitative field preferred (e.g. Mathematics / Statistics / Physics / Computer Science / Industrial Engineering (or comparable)

What's in it for you?

A certified Great Place to Work environment based on trust and safety;

Competitive salary, bonus incentives, and strong pension scheme;

Great onboarding and an intensive 100-day induction program;

Wide range of employee benefits supporting your wellbeing;

Training and development packages;

Social events and a company committed to sustainability;

RCS Grade: J.

Interested? Please apply by sending us your CV and motivational letter!