VNG Career Site Header

Chia sẻ việc làm

  • Logo Footer
  • Logo Footer
Tìm công việc

Senior Data Scientist, VNGGames

OfficialDataData Science25-GDS-2245
locationtp.hồ chí minh
Xem mô tả bằng
Tiếng Việt

Mô tả công việc

We are looking for a Data Scientist to join our Data Science Team. The DS team will work on developing advanced machine learning products and supporting key business initiatives with a focus on game users and game performance, platform data such as: churn prediction, recommendation system, fraud/anomaly detection, user segmentation, user’s LTV, targeted advertising, etc. 


RESPONSIBILITIES 
  • In charge of developing POC and deploying model into production as well as AB testing 
  • Extract actionable business insights from data, formulate business solutions based on data to improve the company's business.
  • Analyze on large amounts of data from various sources to communicate insights, findings and recommendations to stakeholders. 
  • Identify opportunities for process improvement, automation, and innovation to enhance data analysis capabilities. 
  • Utilize statistical and machine learning techniques to identify patterns and trends in data.
  • Effective communication with leadership, tech and business teams
  • Involve in the development and evolvement of the data product 
  • Help junior and intermediate members enhance their careers and their skill sets in data science
  • Using cutting-edge approaches and procedures, as well as developing new ones, when necessary, support the redesign of the data science model development lifecycle
  • Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.

Yêu cầu

  • Minimum Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Econometrics, or a relevant field of study. 
  • At least 3+ years of experience in data analytics and data science. 
  • Strong analytical skills: capable of collecting, organizing, and analyzing significant amounts of information with attention to detail and accuracy. 
  • Proficiency in SQL, Python, and machine learning frameworks (such as Scikit-learn, TensorFlow, PyTorch). 
  • Solid background in machine learning/statistics with hands-on experience in academia and/or industry. 
  • Excellent communication and collaboration skills, demonstrating a proven ability to work effectively in cross-functional teams. 
  • A keen learner and self-motivated team player with the ability to handle multiple projects simultaneously. 
  • Possess a good business mindset.