Data Scientist
Job in
Erlanger, Kenton County, Kentucky, 41018, USA
Listed on 2026-10-29
Listing for:
Deutsche Post DHL
Full Time
position Listed on 2026-10-29
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Distinguished as No. 1 World’s Best Workplace by Great Place to Work and Fortune MagazineDHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our 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.
In addition to competitive compensation packages, our employees enjoy a range of programs, services and benefits that bring the best to their personal lives.
Start YOUR career with DHL today…The Data Scientist role is accountable for end-to-end delivery of analytics products. Responsible for leading all projects to include managing and presenting the results of data analytics and AI projects and deriving analytical requirements, selecting and executing appropriate statistical, machine learning, and AI methods, and interpreting the results. Manages contact with internal/ external customers and networks on data analytics topics, as well as building relationships and communicating with middle and senior management on current and future analytics projects.
Key Accountabilities:
Execution of data science/AI projects, project management and guidance of project team Analysis of the business processes as well as the derivation of problem areas and analytical requirements
Identification and collection of required data as well as data cleansing
Develop and support statistical/machine learning and AI/GenAI models to address business challenges.
Interpret the model results in the business context and prepare them for discussions Collaborate with engineering and IT teams to deploy, monitor, and continuously improve analytical and AI solutions in production environments
Drive the anchoring of data-driven decisions in operating business through the building up of specialist methodical knowledge and knowledge transfer from successfully completed projects
Proactively drives the identification of new strategic application fields, or products by applying innovative methods and technologies
Derive conclusions from modeling results and discuss them with middle / top management largely independently
Manage multiple analytics projects independently on an operational level, consultation with supervisor for escalation, strategic decisions.
Lead project teams, delegate tasks and take over responsibility for project deliverables
Skills/
Qualifications:
7+ years of relevant professional experience in the field of Data Science Master’s degree in Data Science, Computer Science, Mathematics or related natural sciences / technical degree, or comparable qualification Experience in managing and conceptually guiding projects Deep knowledge of machine learning, statistics and/or mathematical optimization and AI/GenAI models, including prompt engineering and LLM-based solutions. Experienced in analyzing complex datasets and building mathematical models;
also in a practical context Experience deploying, monitoring, and maintaining machine learning and AI solutions in production environments. Strong programming skills in Python and proven experience working with relational and No
SQL databases. Ability to produce outstanding creative and analytical solutions based on clear and thorough analyses of complex processes and business relationships Comfortable explaining complex analytical and technical content to various audiences, ranging from operational specialists to members of top management Success-oriented problem solver Employee Benefits & IncentivesDHL Express benefits and incentive offerings are…
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