Business Intelligence (Data Scientist) 商务智能 (数据科学家)

Objective of Job

Lead the design and delivery of advanced analytics solutions to support captive finance business unit initiatives, including sales and marketing steering, pricing and commissions optimization, and customer delinquency forecasting and collections strategies. The role combines technical and business-facing responsibilities, including working with raw data, building statistical and machine-learning models, creating dashboards and visualizations, and translating results into actionable management recommendations.

Task Description

• Frame business questions with sales, marketing, operations, and other business colleagues, using AI and generative AI technology to translate them into analytics projects.
• Build, validate, and deploy AI models, including machine-learning and deep-learning models, for customer segmentation, user growth, marketing-channel optimization, pricing elasticity, delinquency prediction, and campaign response.
• Design and deliver evaluation frameworks and relevant reports.
• Work with Data Engineers to design data-preparation, feature-engineering, and model-deployment pipelines.
• Present insights and recommendations to senior management in clear, business-oriented language.
• Support additional data topics as needed, including generative AI opportunities, process standardization and automation, and data security and governance requirements.
• Mentor junior analysts and establish best practices in analytics and model governance.

Qualifications

• Master’s degree or higher in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.
• At least 7 years of professional data-science experience, ideally in financial services or customer analytics.
• Strong programming skills in Python and solid experience with SQL and Apache Spark, including the ability to set up tailored environments and structure code packages.
• At least 7 years of experience and expert knowledge of AI, generative AI algorithms, and data-science methods including predictive modelling, association analysis, sequential pattern discovery, clustering, classification and regression, estimation, and descriptive analytics, especially data visualization.
• At least 5 years of experience with machine-learning and deep-learning tools such as XGBoost, LightGBM, PyTorch, MLFlow, Optuna, and Ray to deliver holistic, production-ready solutions.
• Proven knowledge and experience in systematically tracking and evaluating business impact.
• Strong business acumen and the ability to conduct workshops directly with business units.
• Excellent communication skills for management presentations and stakeholder engagement.
• Fluency in Chinese and English.
• Sound knowledge of generative AI technologies such as deep learning, BERT, and LLMs.
• Published papers in top-tier AI conferences or journals, or strong rankings in ACM or machine-learning competitions, are preferred.

Benefits

• Events for Employees
• Health Benefits
• Mobility Offers
• Hybrid Work Possible
• Discounts for Employees Possible
• Flextime Possible
• Good Public Transport
• Barrier-Free Workplace

Contact

Mercedes-Benz Mobility & Technology Service (Beijing) Co., Ltd.
LSH Tower C, 8 Wangjing Street
100102 Beijing
Recruitment China
Email: recruitment_cn@mercedes-benz.com