OnsiteResponsibilities:
[About Tencent]
Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998 with its headquarters in Shenzhen China, our guiding principle is to use technology for good.
We are not only a major video game publisher in the world, we also produce other high-quality digital content, enriching interactive entertainment experiences for people around the globe. We offer a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.
[About Level Infinite]
Level Infinite is a global gaming brand dedicated to delivering high-quality and engaging interactive entertainment experiences to a worldwide audience, wherever and however they choose to play. It operates from bases in Amsterdam and Singapore with staff around the world.
To learn more about Level Infinite, visit www.levelinfinite.com, and follow on Twitter,Facebook, Instagram and YouTube.
[Responsibilities]
Technically lead one of the following areas (depending on your expertise): Marketing, Machine Learning Engineering, Game Science.
Collaborate closely with product and engineering teams to define and execute data strategies.
Take ownership of the product, identify growth opportunities, and develop hypotheses and data-informed strategies for growth and an enhanced user experience.
Work with large-scale datasets to solve complex business and technical problems through analytics, forecasting, machine learning, recommender system, generative AI, experimentation, causal inference, and econometrics.
Constantly learn the latest technologies in data science, effectively utilize advanced technologies and tools for application attempts, and explore innovation in applied research.
Broadly explore opportunities with an open mindset; flexibly employ various data science methods to identify high-impact opportunities, initiate project ideas, prototype solutions, and drive project completion.
Contribute to data science best practices, processes, training, and sharing; cultivate data science culture and technical advancements.
Demonstrate leadership and participate in team goal setting and planning.
Requirements:
[Requirements]
- M.S., or Ph.D. in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Machine Learning, or equivalent practical experience.
- Domain expertise and 3+ years of industry experience in one of the following areas: Marketing, Machine Learning Engineering, Game Science.
- Excellent communication, collaboration, execution capabilities, and keen business acumen.
- Experience programming in SQL, Python, or related languages.
- Experience with Big Data technologies such as Hadoop, Hive, Spark, etc.
- Experience with building complex data products and machine learning systems on large datasets preferred.
- Experience with generative AI applications preferred.
- Prior experience in publishing papers at top conferences in the field such as NeurIPS, ICML, AAAI, KDD, WSDM, RecSys, etc. is preferred.
- Passionate about games and the gaming industry.
[DEI Statement]
Diversity, Equity & Inclusion at Tencent:
Diversity, equity and inclusion are important, interdependent components of our workplace. 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.
Location State(s)
California
The base pay range for this position in the state(s) above is $72,050 to $144,410 per year. Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered.