Data Scientist Optimization - Bonn, Deutschland - Deutsche Post & DHL

Deutsche Post & DHL

Geprüftes Unternehmen

Bonn, Deutschland

vor 1 Woche

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

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
DHL Express is looking for a Data Scientist - Optimization.

The role purpose is to implement Business Intelligence, Data Analysis & Analytics plans to identify business intelligence, reporting, and data analysis needs and provide data that is accurate, congruent, reliable, and in line with overall business objectives and needs.

The location is flexible in Maastricht (NL) or 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 nontechnical stakeholders.
Develop statistical and/or optimization models (e.g., machine learning, deep learning, linear programming).
Produce accurate outcomes on analytics tasks, ensuring reproducibility and precision of results.

Do you have what it takes?:

Experience in analyzing large and complex datasets coming from different functions.
Knowledge of statistics, data visualization, and machine learning.
Able to produce creative analytical solutions based on clear and thorough analyses of complex processes and business relationships.
Experience in using our standard analytics tools such as Python / Jupyter Lab, SQL and NoSQL, Power BI / Tableau.
Comfortable in explaining complex analytical and technical content to various audiences.
Experience supporting and working with crossfunctional teams in a dynamic, and international environment.
Energetic team player with a positive 'can do' attitude.
Successoriented problem solver. Independent work ethic, integrity, and loyalty.
Able to structure an optimized (relational) database.
Able to connect various data sources and preprocess raw data files (e.g. XML/JSON).
Experience with Spark / Hadoop.
Able to write efficient, productionlevel Python code.
University Degree in a quantitative field preferred (e.g., Mathematics / Statistics / Physics / Computer Science / Industrial Engineering (or comparable).

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.