Technical Research - Data Science null

Your role

Your responsibilities include the following:

• Participate in business data analysis and data model construction based on massive data scenarios to drive business growth.
• Responsible for planning and building business data indicator system and analysis system, constructing intelligent decision-making methodology, and finding business revenue growth points.
• Verify the effectiveness and value of evaluation strategies through experimental science, causal inference and other methods.
• Build user portraits, construct feature engineering implementation plans, continuously optimize and improve data models, and improve online data service effects.
• Follow up on the latest progress in the fields of advertising, recommendation, NLP, complex networks, etc., and quickly implement and apply them to practical tasks.

About you

To apply for this role, you must have the following job requirements:

• Bachelor's degree or above, major in mathematics, statistics, operations research, computer science, economics, communications, etc.
• Rigorous logical thinking ability and solid mathematical professional knowledge foundation; master the basic theories in common statistical analysis, experimental design, machine learning and other fields.
• Have excellent coding skills, solid knowledge of data structure and algorithm, proficiency in at least one programming language, use of Java, Scala, C++, R, Python and other big data basic tools, and ability to process large-scale data.
• Excellent analytical and problem-solving skills, and passionate about solving challenging problems.
• Familiar with one or more of machine learning, natural language processing, and data mining. Candidates with relevant practical project experience are preferred.
• Clear communication skills; efficient collaboration skills; proactive and self-driven; rigorous and systematic thinking; critical thinking.

Bonus points or notes

• Published high-level papers in top conferences or core journals in related fields.
• Have relevant internship experience.
• Achieved top-ranking results in mainstream competitions recognized by the industry.

Benefits

No matter where you work, you can enjoy Tencent's special culture of work and life, including:

• Midnight snacks and self-service tea
• Office fitness equipment
• Unique internal activities and clubs will make your life never boring
• Discounts for recharging Q coins
• Discounts on equipment
• Annual Family Open Day 
• Ample annual leave
• Flexible working hours

Training & development

Here at Tencent, you can continue to learn all aspects of Tencent Academy and learn more workplace and professional skills. Colleagues at Tencent call each other classmates, and every colleague is both a teacher and a friend. This will help you keep recharging your batteries on your career path.

Career progression

Tencent places great importance on staff training and development, offering opportunities for the staff to grow vertically or horizontally in their career. This approach allows employees to develop their capabilities in a more focused and clear manner, and be recognized for their contributions clearly and timely through the ranking system.

How to apply

Application process:

• Online Application
• Remote Interview
• Offer Insurance

Sources

The following sources were used in researching this page:

• careers.tencent.com/en-us/welfare.html
• tencent.com/en-us/employees.html
• join.qq.com/
• youtube.com/@TencentGlobal