Data Scientist

DHL

On-site

Elizabeth, NJ

Full-time

Senior

7+ yrs

$103k–$138kPosted 11m ago

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Real job — pulled straight from DHL’s careers page · Verified October 27, 2026 · No reposts.

DHL is hiring a Data Scientist — a full-time, based in Elizabeth, NJ role ($103k–$138k). Apply directly on DHL's careers page below.

Data Scientist

Location: Elizabeth, New Jersey, United States of America

Category: Consulting, Data Analysis and Project Management

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 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 NoSQL 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 & Incentives

DHL Express benefits and incentive offerings are designed to reflect a substantial experience for both employees and their dependents during their career and life journey. The specifics will vary, but wherever you join and in whatever role, you'll find our benefits and rewards are among the best in the industry They include:

Competitive Pay - Salary Range: $103,125 - $137, 500/annually
Bonus/Incentive Programs
Retirement Savings – 401K with company match
Medical, Dental, Vision, well-being programs
Tuition Reimbursement
Generous Paid Time Off – Starting at 4 Weeks (PT/FT)
Paid Leave
Employee Discount Program
Employee Assistance & Work Life Program
Outstanding training opportunities

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. The EEO is the Law poster is available here: https://www.eeoc.gov/employers/eeo-law-poster

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation

Success-oriented problem solverComfortable explaining complex analytical and technical content to various audiences, ranging from operational specialists to members of top managementAbility to produce outstanding creative and analytical solutions based on clear and thorough analyses of complex processes and business relationshipsStrong programming skills in Python and proven experience working with relational and NoSQL databasesExperience deploying, monitoring, and maintaining machine learning and AI solutions in production environmentsExperienced in analyzing complex datasets and building mathematical models; also, in a practical contextDeep knowledge of machine learning, statistics and/or mathematical optimization and AI/GenAI models, including prompt engineering and LLM-based solutionsExperience in managing and conceptually guiding projectsMaster’s degree in Data Science, Computer Science, Mathematics or related natural sciences / technical degree, or comparable qualification 7+ years of relevant professional experience in the field of Data Science