Data Scientist (Optimization/Operations Research) at DHL Supply Chain

Maastricht, Limburg, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

15 Feb, 26

Salary

0.0

Posted On

17 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Optimization, Operations Research, Machine Learning, Deep Learning, Linear Programming, Python, SQL, NoSQL, Data Visualization, Statistics, Cross-Functional Collaboration, Analytical Solutions, Web Applications, Database Structuring, Data Preprocessing

Industry

Logistics;Transportation;Supply Chain and Storage

Description

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… 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). 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? 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 XT Bob Stijnen Talent Acquisition and Development Expert DHL Finance Services B.V. Pierre de Coubertinweg 5 6225 XT Maastricht

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Responsibilities

The Data Scientist will derive analytical and data requirements from business needs, cleanse and analyze datasets, and develop statistical and optimization models. They will create solution prototypes for business users and facilitate a data-driven culture within the organization.