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
About Us
:
Tencent Games Global Data Insight team is a globally leading data science team serving game development, publishing, and operation. Our mission is to tackle various difficulties and challenges in the gaming industry through data science and technology.
Responsibilities
:
As a Data Scientist at Tencent Games, you will be responsible for:
-
Collecting, analyzing, and interpreting data to provide data-driven insights and solutions for business problems in the gaming industry, including various analysis and modeling scenarios in the stages of R&D, marketing, and operation.
-
Developing computational workflows based on Python, SQL, and big data tools to handle and analyze large complex datasets; Utilizing BI tools to develop data reports and support data insights and business analysis.
-
Modeling and developing scalable, efficient, automated data analysis, AB testing, machine learning, validation, and service frameworks.
-
Collaborating with product managers and data engineers to design and implement end-to-end data solutions for issues in game development, publishing, and operation.
Why Work with Us
:
At Tencent Games Global Data Insight Team, we provide unparalleled data-driven impact, resources, access to over a billion players, and an international perspective. We are dedicated to creating a friendly, cross-cultural environment where you can engage in groundbreaking work and take on new challenges that will create new adventures for billions of players. If you are ambitious, self-driven, and passionate about the gaming industry, we invite you to explore the opportunities with us.
Who We Look For
To be considered for this position, you should have:
-
A master's degree or above in computer science, machine learning, or math/statistics.
-
A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry.
-
Expertise in mathematical modeling, statistical analysis, and machine learning, including statistics, machine learning, AB testing, etc.
-
Proficiency in programming languages such as Python, SQL, or related languages.
Location State(s)
US-California-Palo Alto
The expected base pay range for this position in the location(s) listed above is $70,600.00 to $164,200.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.