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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:
Modeling & Analytics
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.
Data Preparation & Pipelines
Create and maintain Dataiku flows and Python pipelines using Snowflake/SQL data sources.
Ensure data quality, reproducibility, and version control (Git) across modeling workflows.
Deployment & Monitoring
Support deployment using Dataiku automation and Snowflake processes.
Monitor model performance (drift, accuracy, data quality) and assist with retraining and enhancements.
Insights & BI Integration
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.
Governance
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 inMLFlow, 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
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Sprachkenntnisse
- English
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