JD.COM Silicon Valley R&D Center is looking for a self-motivated machine learning engineer 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, optimization and econometrics 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.

 

Responsibilities:

  • Develop large-scale causal machine learning models and systems to measure the impacts of various marketing strategies, such as price promotions and coupons.
  • Research and develop state-of-art AI systems and platforms to answer critical business questions in marketing.
  • Identify key drivers and generate strategic insights for business growth through data-driven processes.
  • Partner with business stakeholders to develop scalable marketing optimization solutions to drive business and user growth.
  • Advocate for incrementality- and causality-based thought processes and decision making.
  • Summarize and document findings to communicate with senior management.

 

Qualifications:

  • Master or Ph.D. degree in Computer Science, Operational Research, Economics, Statistics or related fields.
  • 2+ years of experience in developing data-driven business solutions. Experience related to consumer segments and marketing strategies (especially in e-commerce) is strongly preferred.
  • Highly experienced in developing machine learning models. Experience in causal machine learning models is a plus.
  • Hands-on experience in large-scale data processing and distributed computing platforms such as Hadoop, Hive and Spark; Experience in scripting languages such as Python.
  • Ability to effectively communicate analyses and models with senior management to influence the strategy of product and business development.
  • 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.

Apply for this Job

* Required
  
  


U.S. Equal Opportunity Employment Information (Completion is voluntary)

Individuals seeking employment at JD.com are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.

Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.


Form CC-305

OMB Control Number 1250-0005

Expires 05/31/2023

Voluntary Self-Identification of Disability

Why are you being asked to complete this form?

We are a federal contractor or subcontractor required by law to provide equal employment opportunity to qualified people with disabilities. We are also required to measure our progress toward having at least 7% of our workforce be individuals with disabilities. To do this, we must ask applicants and employees if they have a disability or have ever had a disability. Because a person may become disabled at any time, we ask all of our employees to update their information at least every five years.

Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and not be seen by selecting officials or anyone else involved in making personnel decisions. Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past. For more information about this form or the equal employment obligations of federal contractors under Section 503 of the Rehabilitation Act, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Disabilities include, but are not limited to:

  • Autism
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, or HIV/AIDS
  • Blind or low vision
  • Cancer
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or hard of hearing
  • Depression or anxiety
  • Diabetes
  • Epilepsy
  • Gastrointestinal disorders, for example, Crohn's Disease, or irritable bowel syndrome
  • Intellectual disability
  • Missing limbs or partially missing limbs
  • Nervous system condition for example, migraine headaches, Parkinson’s disease, or Multiple sclerosis (MS)
  • Psychiatric condition, for example, bipolar disorder, schizophrenia, PTSD, or major depression

1Section 503 of the Rehabilitation Act of 1973, as amended. For more information about this form or the equal employment obligations of Federal contractors, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.