Data Scientist Commercial

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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.

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The Data Science Specialist role builds predictive and prescriptive analytics that enhance pricing, forecasting, segmentation, and decision-making for the U.S. Commercial organization. Working under the guidance of the Manager, Data Science & Analytics, the role supports the full model lifecycle—including data preparation, model creation, deployment, monitoring, and insight generation. The position also supports the integration of predictive insights into BI dashboards and automation workflows that drive measurable business impact.

Key Accountabilities:

• Build models for forecasting, pricing/elasticity, segmentation, propensity, optimization, and scenario planning under manager’s guidance.
• Perform feature engineering, model training, validation, backtesting, and documentation.

• Create and maintain Dataiku flows and Python pipelines using Snowflake/SQL data sources.
• Ensure data quality, reproducibility, and version control (Git) across modeling workflows.

• Support deployment using Dataiku automation and Snowflake processes.
• Monitor model performance (drift, accuracy, data quality) and assist with retraining and enhancements.

• Translate model results into clear insights for Pricing, Sales, and Finance.
• Collaborate with the Sales Support BI team to embed predictive outputs into dashboards and KPI structures.
• Contribute to impact measurement through KPI trees, lift analyses, and ROI scorecards.

• Follow governance, privacy, and Responsible AI standards within DHL Group guidelines; maintain complete documentation and model cards.

Skills/Qualifications:

• Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related field
• 4+ years of applied data science experience.
• Hands-on experience deploying and monitoring models, with familiarity in MLFlow, CI/CD, or model monitoring tools.
• Proficient in Python (pandas, scikitlearn, TensorFlow), SQL, Snowflake, Dataiku, and Git, with experience in model validation, monitoring, drift detection, and MLOps.
• Ability to communicate analytical methods and insights to both technical and non‑technical audiences; solid understanding of forecasting, price elasticity, segmentation, optimization, and simulation techniques.
• Familiarity with integrating predictive outputs into BI tools (Power BI/Tableau)
• Strong documentation, problem-solving, and collaboration skills

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

• 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.