Senior Data Scientist — Commercial Analytics & Pricing

Deutsche Post; Plantation (FL); Presencial; USD 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive Pay

Bonus/Incentive Programs

401K with company match

Medical, Dental, Vision

Tuition Reimbursement

Resumo da oferta

DHL Express is seeking a Sr. Data Scientist- Commercial to design, develop, deploy, and optimize analytics that drive pricing, segmentation, and revenue growth in the U.S. Commercial division.

You will partner with Leadership, Pricing, Sales, Marketing, and Finance to transform data into actionable business insights and scalable solutions. You will manage the full analytics lifecycle, including data prep, model development, validation, deployment, monitoring, and governance, with a focus on

Qualificações

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or a related quantitative discipline.
• Master's degree in Data Science, Analytics, Statistics, Computer Science, or a related field preferred.
• 4+ years of applied experience in data science, machine learning, advanced analytics, or decision science roles.
• Demonstrated experience developing and deploying predictive and prescriptive models in a business environment.
• Experience supporting commercial, pricing, marketing, customer analytics, forecasting, or revenue optimization initiatives preferred.
• Proficiency in Python, including pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or equivalent ML frameworks.
• Advanced SQL skills with Snowflake or similar cloud-based data platforms.
• Hands-on experience with Dataiku or comparable platforms.
• Experience utilizing Git, version control processes, and collaborative software development practices.
• Familiarity with MLFlow, CI/CD pipelines, MLOps, model monitoring, and drift detection methodologies.
• Experience integrating predictive outputs into Power BI, Tableau, or other BI platforms.
• Strong knowledge of statistical analysis, forecasting, segmentation, predictive modeling, optimization, simulation, and experimental design methodologies.
• Ability to translate complex analytical concepts into business-focused insights and recommendations.
• Strong problem-solving, critical thinking, and data storytelling capabilities.
• Excellent communication and stakeholder management skills with the ability to influence technical and non-technical audiences.
• Strong documentation, governance, and project management capabilities.

Responsabilidades

• Design, develop, deploy, and optimize advanced analytics, ML, and decision science solutions.
• Drive pricing strategy, customer segmentation, sales effectiveness, forecasting accuracy, and retention.
• Collaborate with Commercial Leadership, Pricing, Sales, Marketing, Finance, and BI teams.
• Support analytics lifecycle from data acquisition to feature engineering, validation, deployment, and monitoring.
• Deliver dashboards and decision-support tools to enable data-driven decisions.

Conhecimentos

Python ML

SQL

Dataiku

Power BI/Tableau

Model deployment

Data storytelling

Stakeholder management

Git/version control

Formação académica

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or related quantitative discipline

Master's degree in Data Science, Analytics, Statistics, Computer Science, or related field (preferred)

Ferramentas

Dataiku

Snowflake

Git

Descrição da oferta de emprego

DHL Express is seeking a Sr. Data Scientist- Commercial to design, develop, deploy, and optimize analytics that drive pricing, segmentation, and revenue growth in the U.S. Commercial division.

You will partner with Leadership, Pricing, Sales, Marketing, and Finance to transform data into actionable business insights and scalable solutions. You will manage the full analytics lifecycle, including data prep, model development, validation, deployment, monitoring, and governance, with a focus on