The Impact You’ll Be Contributing to Moloco:

• Data Science and Analytics (DSA) is a global team of data scientists and analysts. As a Data Scientist, Growth Analytics intern, you will work with data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco.

The Opportunity:

• Moloco Data Scientist, Growth Analytics interns contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models. 
  • Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale.
  • Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.
  • Campaign optimization: engaging in the life cycle of campaigns, from monitoring  daily performance to partnering with sales teams on bespoke analysis for clients.
  • Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth.  

How Do I Know if the Role is Right For Me?

• Current student in a Bachelor's or Master’s program and able to complete an internship of at least 6 months.
• Statistics: must have strong knowledge and experience in experimental design,  hypothesis testing, and various statistical analysis such as regression or time-series analysis.
• Programming: experience in Python and SQL is required.
• Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders..
• Ability to build positive relationships within the data science & analytics community, as well as with our business stakeholders and clients.
• Work effectively with cross-functional and cross-cultural partners.
• Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.
• Ability to manage multiple projects at the same time while paying attention to detail.
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
• Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks.

* This internship is targeted for this summer term or earlier.
* This position does not support work-from-home arrangements.

The Impact You’ll Be Contributing to Moloco:

• Data Science and Analytics (DSA) is a global team of data scientists and analysts. As a Data Scientist, Growth Analytics intern, you will work with data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco.

The Opportunity:

• Moloco Data Scientist, Growth Analytics interns contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models. 
  • Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale.
  • Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.
  • Campaign optimization: engaging in the life cycle of campaigns, from monitoring  daily performance to partnering with sales teams on bespoke analysis for clients.
  • Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth.  

How Do I Know if the Role is Right For Me?

• Current student in a Bachelor's or Master’s program and able to complete an internship of at least 6 months.
• Statistics: must have strong knowledge and experience in experimental design,  hypothesis testing, and various statistical analysis such as regression or time-series analysis.
• Programming: experience in Python and SQL is required.
• Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders..
• Ability to build positive relationships within the data science & analytics community, as well as with our business stakeholders and clients.
• Work effectively with cross-functional and cross-cultural partners.
• Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.
• Ability to manage multiple projects at the same time while paying attention to detail.
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
• Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks.

* This internship is targeted for this summer term or earlier.
* This position does not support work-from-home arrangements.

A Day In The Life

我们正在寻找一位有才华且有激情的机器学习工程师加入我们的Research Science团队。该你将专注于广告技术中的机器学习模型优化和性能提升，旨在提高广告投放的效果和效率。

理想的候选人不仅要具备卓越的学历和技术背景，还要能够在团队合作中发挥积极作用，持续跟踪和应用前沿技术，自主发现并解决问题。

在Axon，你将与全世界最优秀的开发者一起，打造最佳的广告系统和基础设施。你可以把你的能力和经验直接转化为可以看见的业务增长。

在Axon，我们鼓励大胆创新，我们崇尚工程师文化，我们拒绝形式主义。如果你崇尚技术，希望用技术创造财富、改变世界，你将在这里找到志同道合的伙伴。

The Impact You’ll Make

• 开发和改进广告投放相关的机器学习模型，提升模型的预测准确性和效果。
• 与跨职能团队合作，改进数据流水线，优化模型推理性能，完善监控系统。
• 持续关注机器学习和广告技术领域的最新进展，评估其对公司业务的潜在影响。将最新的研究成果应用于实际项目中，推动技术创新。
• 主动发现广告投放系统中的潜在问题和优化空间，提出可行的解决方案。并设计和执行实验，验证假设并优化模型和系统性能。
• 与我们才华横溢的机器学习工程师、数据科学家和软件工程师密切合作，无缝集成你的解决方案到我们的平台。

Who You Are

• 拥有计算机、数学、统计学、机器学习等相关专业的硕士或博士学位。
• 扎实的机器学习理论基础和实践经验，熟悉常用的机器学习算法和工具（如Python, TensorFlow, PyTorch等）。
• 具有模型优化和推理性能优化的实际经验，了解相关技术和方法。
• 优秀的团队合作能力，善于沟通和协作，能够在团队中积极贡献。
• 强烈的学习意愿和自主发现解决问题的能力，能够快速适应技术变化。

Additional Strengths

• 具有广告技术或相关领域的工作经验。
• 具有C++开发经验
• 发表过推荐系统或广告顶会（如KDD、NeurIPS、SIGIR、Recsys等）论文者优先。

AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles.  We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.

 

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

 

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com.

 

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.  If you’re applying for a position in California, learn more here.

 

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

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Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information. 

 

 

 

 

             

THE ROLE 岗位职责: 

WorldQuant is seeking exceptional individuals to join the firm as a Data Scientist. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.

• Perform analysis and generate models of financial datasets using machine learning techniques
  运用机器学习的方法分析并构建金融数据模型
• Verify the integrity of unstructured data and turn data into potentially valuable insights
  验证非结构化数据的价值并将数据转化成潜在的高质量的市场洞见
• Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques
  应用各种算法技术开发并构建可尝试预测金融市场波动的数据

WHAT WE OFFER 你将会获得:

• Competitive compensation
  有竞争力的薪资
• Join our established mentoring program and receive one-on-one guidance by an accomplished advisor 
  完善的导师培训机制、一对一师从资深从业者
• Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices.
  国际化视野，与WorldQuant 全球各地多个团队共事、交流
• Flexibility of self-managed work progress, comfortable working environment, rich employee activities, and generous employee benefits
  灵活自主安排工作进度，舒适的办公环境、丰富的员工活动及优渥的员工福利

WHAT YOU'LL BRING 你需要具备:

• Pursuing a B.S., M.S. or Ph.D. degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data)
  正在攻读相关领域的本科、硕士或博士学位（例如电子工程，物理，计算机科学，数学，金融工程, 大数据等）
• Candidates should be graduating in 2025 or 2026
  候选人需于2025年或2026年毕业
• Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix
  熟练掌握至少一种编程语言，如C++、python等； 熟悉Linux/Unix等操作系统
• Research experience in NLP, Deep Learning is a plus
  有自然语言处理、深度学习、人工智能等研究经验者优先
• Good English reading and writing skills
  良好的英语读写能力

If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQBJQuantJobs@worldquant.com
如无法浏览在线申请网页或您有任何疑问，请将您的简历或问题发送至 WQBJQuantJobs@worldquant.com

The position is based in our research office in Beijing or Shanghai.
预期工作地点为北京或上海的研究办公室。