Job Description

Digital Industry Division of Siemens China is looking for the hands-on Senior (or Staff) Data Scientist to join the innovative Artificial Intelligence and Data Analytics team, based in Beijing. (Senior level depends on candidate’s capabilities and experience) This is a critical role supporting other functions in the business by data driven approach. The successful candidate will work with other members in the team as internal consultant to deliver data analysis and modelling service, especially algorithm development, and leverage decision making process to help the Division improve the business performance.

Responsibilities:

• · Be creative with the data to boost data utilization
• · Communicate with internal customers to underhand the needs and queries of data
• · Design, establish and maintain data tools and dashboards for stakeholders
• · Extract relevant data from various database, prepare the dataset for advanced analysis and modeling
• · Control data quality and conduct data investigations to understand logic that is required to use for reliable analysis
• · Conduct the statistical analysis and implement data mining and machine learning models in ad-hoc project and business case
• · Develop GenAI application and maintain relevant system
• · Cutting edge algorithm research to apply the new technology on business case
• · Deliver the interpretation of analysis and model results

Professional Skill/Qualifications

Basic Requirements:

• · Degree in Mathematics, Statistics, Operational research, Business Analytics or other quantitative fields.
• · Proficient in application of statistics, hypotheses test
• · Proficient in data clear and refine process; knowledge in outlier detection and sampling methods
• · Proficient in machine learning methods especially regression, classification models and cluster analysis, such as logistic regression, decision tree, SVM, K-mean.
• · Proficient in the model assembling methods and relevant models, such as Random Forest, XGBM
• · Proficient in Deep Learning model especially various Neural Network algorithms based on Tensorflow or Pytorch, such as CNN, RNN
• · Good experience in developing the data mining or machine learning models for business or academic issues, and interpreting the results
• · Familiar with LLM application such as RAG and SFT, experience on popular frameworks especially LongChain, LongGraph or RAGFlow
• · Familiar with forecasting methods, especially time series
• · Hands on experience in Python at advanced user level
• · Good SQL skills
• · Good MS Excel skills
• · Business level in written English

Desired Skills and Experience:

• · More than 5-year work experience of data analysis in business application, especially in FMCG, retailer, digital business or consultancy.
• · Extremely strong academic background with PhD in relevant subject areas
• · Experience of using BI and OLAP tools, such as Tableau, QlikSense or PowerBI
• · Experience on developing Recommendation Algorithm and Optimisation Algorithm is a strong advantage
• · Experience with AWS or Ail Cloud platforms
• · Good knowledge in the algorithm of RL or CV models is desired
• · AI Agent development experience, familiarity with MCP client and server development.