Lead Data Scientist (Manager)

DHL Germany; Estado de México; Presencial; MXN 1,289,000 - 1,659,000; Jornada completa

Descripción de la vacante

A leading logistics company in Mexico is seeking a Lead Data Scientist to develop advanced analytics and AI solutions. The ideal candidate has over 6 years of experience, strong programming skills in Python and SQL, and a background in logistics. Responsibilities include developing machine learning models and collaborating across teams to enhance decision-making and operational efficiency.

Formación

• Minimum of 6 years of experience in data science, preferably in logistics or supply chain.
• At least 2 years in a leadership or mentoring role.
• Strong technical skills in programming and familiarity with data science techniques.

Responsabilidades

• Develop and deploy optimization and machine learning models for forecasting.
• Conduct exploratory data analysis to derive actionable insights.
• Create advanced analytics dashboards for decision-making.
• Guide the team in modeling techniques and foster technical excellence.
• Translate business questions into structured analytical problems.

Conocimientos

Data Science

Machine Learning

Optimization

Python

SQL

Data Analysis

Stakeholder Management

Educación

Bachelor's degree in a quantitative field

Master's or PhD in a related field

Descripción del empleo

About DHL Supply Chain

We are the world's leading logistics company, creating a competitive advantage for our customers by providing them with logistics solutions based on our globally standardized warehousing, transportation, and integrated services. Our people are our greatest asset. We are certified as a Great Place to Work. At DHL, you will find a culture that embraces diversity and collaboration, harnesses your strengths, and builds trust through our values of respect and results. A world driven by logistics. A company powered by our people.

Job Purpose:

The Lead Data Scientist is tasked with spearheading the development and implementation of advanced analytics, artificial intelligence (AI), and optimization solutions aimed at addressing complex logistics and supply chain challenges within DHL Supply Chain LatAm. This role merges extensive technical expertise with the leadership of a small, high-performing team (2 members) to deliver scalable, data-driven innovations that enhance decision-making, improve operational efficiency, and generate business value.

A primary focus of this position is to introduce and apply state-of-the-art mathematical and technical capabilities, ensuring that solutions are both analytically robust and practical for scaling. The Lead Data Scientist is expected to remain abreast of emerging trends in data science and AI, guiding the team in the adoption of new methodologies and technologies that can be seamlessly integrated into operations.

Main Accountabilities:

• Develop and deploy optimization and machine learning models for forecasting, anomaly detection, and classification.
• Conduct exploratory data analysis (EDA) to derive actionable insights that inform business strategy.
• Create advanced analytics dashboards for visualizing insights and facilitating decision-making.
• Guide the team in selecting appropriate modeling techniques and foster a culture of technical excellence and innovation.
• Ensure continuous training and upskilling of the team in emerging technologies.
• Translate complex business questions into structured analytical problems.
• Collaborate with cross-functional teams to integrate models into business processes and systems.
• Communicate complex analytical findings clearly to both technical and non-technical stakeholders.
• Support community-building efforts to promote analytics and data-driven culture across the organization.
• Oversee the management of outsourced analytical projects, ensuring cost-effectiveness and value delivery.

Who We Are Looking For:

Talent with a Data Scientist profile with a strong background in logistics or supply chain environments. The ideal candidate will have a minimum of 6 years of experience with a Bachelor's degree or 3 years with a Master's/PhD, including at least 2 years in a leadership or mentoring role.

A proven track record in delivering impactful optimization and machine learning models is essential. Candidates should possess strong technical skills in programming (Python, SQL), familiarity with data science techniques, and experience in managing cross-functional stakeholders. A Bachelor's degree in a quantitative field is required, with a Master's or PhD preferred. Relevant certifications in machine learning or data science are a plus.