Level Infinite
Gaming
AssociateDataScientist
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“Associate Data Scientist at Level Infinite. Skills: Machine Learning, AI Models, Data Science Solutions, Python, Data Processing, Feature Engineering, Model Deployment. Develop and deploy machine learning / AI models. Creator segmentation and recommendation”
What You'll Achieve.
Drive measurable business impact; Ensure models are production-ready, reliable, and scalable
Industry & Context.
Translate business and product problems into data science solutions; analytical thinking and hypothesis-driven approach
What They're Looking For.
Must Have
foundation in machine learning, foundation in statistics, Proficiency in Python, experience with data processing, SQL
Nice to Have
Familiarity with LLMs, NLP, or recommendation systems, Understanding of model deployment (APIs, batch/real-time inference), Experience in influencer marketing, advertising, or creator platforms, Familiarity with social media data (e.g., YouTube, Twitch, TikTok ecosystems), Experience with embeddings, vector databases, or retrieval systems, Basic knowledge of data engineering or MLOps workflows
What You'll Do.
Develop and deploy machine learning / AI models
Creator segmentation and recommendation
Creator Content labeling and data analysis
Campaign performance prediction and optimization
Agentic Systems Developing
Translate business and product problems into data science solutions
Design experiments to validate hypotheses and measure impact
Iterate on models based on performance
Work with data engineers to define and build scalable data pipelines
and structure large datasets
Design meaningful features that improve model performance
Collaborate closely with product managers and engineers to integrate models into the platform
Ensure models are production-ready
Contribute to API design
and inference workflows
Track model performance using appropriate metrics
Maintain documentation and ensure reproducibility
How You'll Work.
Team & Collaboration
Work at the intersection of data science, product, and engineering; Work with data engineers to define and build scalable data pipelines; Collaborate closely with product managers and engineers to integrate models into the platform; Ability to work cross-functionally with product, engineering, and business teams
Communication Scope
Good communication skills—able to explain complex models in simple terms
Full Job Description
# **_About the Hiring Team_** Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. # **_What the Role Entails_** We are looking for an Associate Data Scientist to help build AI-powered capabilities for our influencer marketing platform. This role focuses on turning data and machine learning into practical product features—from creator discovery and content understanding to campaign optimization and performance prediction. You will work at the intersection of data science, product, and engineering, helping bring intelligent systems into real world use cases that drive measurable business impact. **1\. Applied AI & Model Development** * Develop and deploy machine learning / AI models to enhance platform capabilities. * Work on use cases such as: * Creator segmentation and recommendation. * Creator Content labeling and data analysis. * Campaign performance prediction and optimization. * Agentic Systems Developing. **2\. Problem Framing & Experimentation** * Translate business and product problems into data science solutions. * Design experiments to validate hypotheses and measure impact. * Iterate on models based on performance, feedback, and real-world usage. **3\. Data Pipeline & Feature Engineering** * Work with data engineers to define and build scalable data pipelines. * Clean, process, and structure large datasets (creator data, content metadata, campaign performance). * Design meaningful features that improve model performance. *
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