JD.COM Silicon Valley R&D Center is looking for a self-motivated Applied Scientist to join our Retail Technology team. Our team focuses on solving the most impactful problems in ecommerce marketing and have direct influence on JD.COM's business strategy. You will be working with a group of elite research scientists and economists to tackle challenging strategic and tactical problems to drive the growth of JD.COM's marketing and advertising platform. You will work on state-of-art systems that combine advanced machine learning, causal inference and optimization methods to make real-work impacts. Our projects include developing scientific and scalable measurement systems for marketing campaign efficiency, conducting large scale causal analysis for sales drivers, improving advertising efficiency through model enhancement, data integration and/or new business model developments, analyzing customers lifetime value and developing data-driven processes to improve customer engagements. You will be able to work with the data generated by hundreds of millions of JD.COM’s active users and your work will directly influence how customers shop within and outside the JD platform.



  • Leveraging machine learning and/or causal analysis methods to answer critical business questions such as marketing campaign efficiency evaluation, key growth driver identification, etc.
  • Develop scalable solutions to standardize marketing performance evaluation processes and provide efficient efficiency measurement solutions.
  • Apply data mining, quantitative analysis and visualization techniques to examine customer behavior data and identify opportunities for improvement in marketing strategies.
  • Develop innovative algorithms that help to scale existing processes and improve efficiency and accuracy.
  • Research new measurement and prediction algorithms to enhance the ability of business decision making.
  • Summarize and document findings to communicate with senior leaderships.



  • Master or Ph.D. degree in Computer Science, Economics, Operational Research, Statistics or related fields. Experience in consumer segments, especially e-commerce is a plus.
  • Experience with developing machine learning or causal inference algorithms.
  • Experience with large scale data and computing platforms such as Hadoop, Hive and Spark.
  • Experienced in data manipulation and analysis using SQL or R.
  • Development experience in scripting languages such as Python.
  • Excellent written and oral communication skills.


About JD-Technology and Data Center

The JD – Technology and Data Center is part of JD Retail. The Technology and Data Center develops technologies and data solutions that powers JD’s retail business. JD Retail Technology research group in Silicon Valley is focused on using science to suggest, support and shape new and existing data-driven promotion, e-commerce, and marketing products.  We combine large-scale experimentation, statistical-econometric, machine learning and artificial intelligence tools with social-science, economics and computer science to find innovative ways to drive growth and monetization. Some of the problems we work on include causal evaluation, recommendation systems, targeting and pricing using applied economics, causal inference, deep learning and reinforcement learning methods.

JD.com is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

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