(Senior) Data Scientist / Machine Learning Engineer - Recommender System
TCL Corporate Research (Hong Kong) Co., Limited
- Company Industries:Information Technology
Job Information
- Post Date:2022-09-01
- Career Level:Middle
- Location:Shatin Area
- Qualification:Full Time
- Job Function:Engineering Electrical / Electronics Information Technology (IT) Software Development &nbs
- Benefits:Dental insurance, Medical insurance, Performance bonus, Five-day work week
Job Description
The Core Search & Recommendations team at TCL is looking for a (Senior)Data Scientist to help build the next generation of our TV search & recommendation engine. Our team creates internal analytical tools as well as users facing machine/deep learning models that enable TV media resource search and discovery. Our ideal candidate will be able to develop critical insights into our recommender engine data and make strategic recommendations on key opportunities, as well as grow out their skillset in the modeling space.
We’re seeking a strong data scientist candidate that is comfortable pulling and aggregating data from multiple large sources, building out models, designing strategies, defining KPIs, conducting A/B/n tests, and is interested in experimental design.
Job description
1. Responsible for the optimization of the recommendation utility of TCL TV content business, and improving the product DAU/retention/time and other valuable metrics;
2. Explore various cutting-edge models, formulate appropriate algorithms and strategies for different business scenarios, continuously optimize effects and performance, and enhance user experience;
3. Participate in the construction of the algorithm-driven system of the core business (advertising/search/information flow), build a personalized recommendation system/advertising recommendation engine for the TV scene, and increase the advertising revenue and user activity of the Internet business;
4. Experiments on applying data mining, deep learning, machine learning algorithms into real industrial applications with millions of daily UV;
Job Requirements
1. Master's or PhD in Computer Science, Statistics, and other related majors;
2. Excellent coding ability, solid data structure, and algorithm skills;
3. Solid programming skills, familiar with programming languages such as python and scala.
4. Hands-on industry experience in big data processing filed such as Spark, HIVE, Elasticsearch, Redis etc.
5. Familiar with deep learning framework
We’re seeking a strong data scientist candidate that is comfortable pulling and aggregating data from multiple large sources, building out models, designing strategies, defining KPIs, conducting A/B/n tests, and is interested in experimental design.
Job description
1. Responsible for the optimization of the recommendation utility of TCL TV content business, and improving the product DAU/retention/time and other valuable metrics;
2. Explore various cutting-edge models, formulate appropriate algorithms and strategies for different business scenarios, continuously optimize effects and performance, and enhance user experience;
3. Participate in the construction of the algorithm-driven system of the core business (advertising/search/information flow), build a personalized recommendation system/advertising recommendation engine for the TV scene, and increase the advertising revenue and user activity of the Internet business;
4. Experiments on applying data mining, deep learning, machine learning algorithms into real industrial applications with millions of daily UV;
Job Requirements
1. Master's or PhD in Computer Science, Statistics, and other related majors;
2. Excellent coding ability, solid data structure, and algorithm skills;
3. Solid programming skills, familiar with programming languages such as python and scala.
4. Hands-on industry experience in big data processing filed such as Spark, HIVE, Elasticsearch, Redis etc.
5. Familiar with deep learning framework
Company Info
TCL is one of the world’s leading manufacturers of consumer electronic products, engaged in research & development, manufacturing and sales of TV and audio-video products with a global distribution sales network.
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