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Promotion Intelligence Algorithm Engineer - Marketplace Intelligence Job Opening In Singapore, Singapore – Now Hiring Shopee


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About The Team

The mission of the Marketplace Intelligence team is to build sustainable and scalable data products to promote the business and mission of Shopee marketplace by analyzing massive item and user related data, producing reliable predictive business insights and data-driven services, maximizing the effectiveness of marketing campaigns as well as providing personalized e-commerce experiences based on all-round item profiling and user profiling data and information.

  • Work closely with the promotion product team, business partners, and internal stakeholders to identify marketplace growth challenges, uncover actionable insights, and deliver practical, scalable solutions based on large-scale user and product data.

  • Drive the development and optimization of smart voucher dispatching strategies across various campaign scenarios by leveraging advanced deep learning, causal inference, and operations research techniques
  • Collaborate with product and engineering teams to design and build end-to-end machine learning pipelines to power data-driven decision-making for promotions and campaign planning.

  • Work on core solutions related to personalized recommendations, promotion and voucher configuration optimization, campaign budget planning, and product demand forecasting.

  • Develop, iterate, and maintain machine learning models, including those based on deep learning, reinforcement learning, and multi-armed bandit frameworks, applied in areas such as recommendation, search, and ads ranking.

  • Conduct rigorous online and offline evaluations, including A/B testing, to ensure model effectiveness and business impact.
About The Team
The mission of the Marketplace Intelligence team is to build sustainable and scalable data products to promote the business and mission of Shopee marketplace by analyzing massive item and user related data, producing reliable predictive business insights and data-driven services, maximizing the effectiveness of marketing campaigns as well as providing personalized e-commerce experiences based on all-round item profiling and user profiling data and information.
Job Description
  • Work closely with the promotion product team, business partners, and internal stakeholders to identify marketplace growth challenges, uncover actionable insights, and deliver practical, scalable solutions based on large-scale user and product data.

  • Drive the development and optimization of smart voucher dispatching strategies across various campaign scenarios by leveraging advanced deep learning, causal inference, and operations research techniques
  • Collaborate with product and engineering teams to design and build end-to-end machine learning pipelines to power data-driven decision-making for promotions and campaign planning.

  • Work on core solutions related to personalized recommendations, promotion and voucher configuration optimization, campaign budget planning, and product demand forecasting.

  • Develop, iterate, and maintain machine learning models, including those based on deep learning, reinforcement learning, and multi-armed bandit frameworks, applied in areas such as recommendation, search, and ads ranking.

  • Conduct rigorous online and offline evaluations, including A/B testing, to ensure model effectiveness and business impact.
Requirements
  • Master or PhD in Computer Science, Engineering, Mathematics, Statistics, Biostatistics or other fields related to data mining preferred.

  • 2+ years of relevant industry experience in at least one programming language (e.g., Python, Golang, Scala) and Unix/Linux system and comfortable working with large datasets and conducting complex data analysis using SQL, Python or R.

  • Knowledge in optimisation, classical machine learning (classification, regression, clustering, etc), deep learning, reinforcement learning.

  • Experience in Tensorflow/Pytorch machine learning framework, distributed data processing framework (e.g., Hadoop, Spark) and conducting production environment A/B test.

  • Practical project experience of uplift modeling, deep learning based recommendation systems (matching, pre-ranking, ranking, etc) in fields such as search, recommendation or ads , online and offline optimisation (multi-armed bandit, reinforcement learning) preferred.

  • Good communication skills with demonstrated ability to deliver and explain technical content to stakeholders.

  • Ability to deliver quality work under a tight timeline
  • Teamwork mindset and ability to work closely with cross-functional teams.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology
  • Industries

    Software Development, Internet Marketplace Platforms, and Technology, Information and Internet

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Required Skill Profession

Software Architecture & Engineering


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Unlock Your Promotion Intelligence Potential: Insight & Career Growth Guide


Real-time Promotion Intelligence Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Promotion Intelligence in Singapore, Singapore, highlighting market share and opportunities for professionals in Promotion Intelligence roles.

587 Jobs in Singapore
587
543 Jobs in Singapore
543
Download Promotion Intelligence Jobs Trends in Singapore and Singapore

Are You Looking for Promotion Intelligence Algorithm Engineer Marketplace Intelligence Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Shopee adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Promotion Intelligence Algorithm Engineer Marketplace Intelligence Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Promotion Intelligence Algorithm Engineer Marketplace Intelligence?

Key qualifications for Promotion Intelligence Algorithm Engineer Marketplace Intelligence typically include Software Architecture & Engineering and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Promotion Intelligence Algorithm Engineer Marketplace Intelligence?

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Interview Tips for Promotion Intelligence Algorithm Engineer Marketplace Intelligence Job Success

Shopee interview tips for Promotion Intelligence Algorithm Engineer   Marketplace Intelligence

Here are some tips to help you prepare for and ace your Promotion Intelligence Algorithm Engineer Marketplace Intelligence job interview:

Before the Interview:

Research: Learn about the Shopee's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Promotion Intelligence Algorithm Engineer Marketplace Intelligence interview at Shopee, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Shopee's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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