Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed; Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale
Requirements: 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset; Fluency in core set of Data Science, and SQL/Hive, R/Python, and ETL

Duties: Conduct offline and online experiments, analyze according data and evaluate to improve algorithms and strategies; Responsible for the research and development of cutting-edge machine learning technology, application of visual, speech, audio and text recognition post-processing technology to products; Responsible for the optimization of NLP/Computer Vision/MultiModal algorithms for content understanding, and applying them to the scenarios of Trust and Safety; Responsible for building the ML model to recognize inappropriate content in the Trust and Safety context
Requirements: Bachelor's degree in Computer Science or equivalent with 5+ years of experience; Familiar with large-scale language modeling algorithms (N-gram, nnlm); Familiar with decoding engine optimization, with experience in WFST composition and optimization; Familiar with decoding algorithms under the end-to-end framework, with experience in decoding algorithm development and optimization

Duties: Inform, influence, support, and execute our product decisions through data; Research applied data science questions in our ads system to improve prediction accuracy, develop data-driven go-to-mark strategies, and drive advertiser value; Work closely with engineering and product teams to develop hypotheses, run experiments and prototype new product ideas; Collaborate with data engineering teams to build/maintain reports, dashboards, and metrics to monitor the performance of our products, provide insights and identify new opportunities
Requirements: 5+ years of experience working in an analytics organization, ideally in Tech industry leading companies, especially in the advertising area; Ads or Advertiser or Agency experience; Advanced degree (PhD, MS or BS) in Statistics, Mathematics, Economics, Computer Science or other quantitative fields; Sustained track record of driving business value and improving product with data insights, especially in advertising, growth, marketing or relevant domains; Experience with ML and statistical knowledge, fluency in Python, SQL, Scala or other programming languages

Duties: Build industry leading recommendation system for customers; Understand machine learning techniques and business objectives, end-to-end own recommendation system and responsible for performance, improve recommendation models and strategies; Conduct cutting-edge research in machine learning algorithms, and apply the technology to different business scenarios; Work with cross functional teams to grow Enterprise Partnership & Solutions business
Requirements: Bachelor's degree or above majoring in Computer Science, or related fields, with 3+ years of experience building scalable system; Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas

Duties: Understand each business line and payment scenarios well, design Red Flags to monitor potential compliance risk scenarios; Optimize and iterate compliance strategy standardly, systematically, timely and proactively; Design and develop machine learning algorithms to detect suspicious transactions and accounts effectively and assist investigation procedures efficiently; Discover potential syndicates and concerted behavior communities from large-scale graph data based on graph neural networks
Requirements: Bachelor and above with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines; 2 years and above relevant experience, with solid experience with data structures and algorithms; Familiar with at least one framework of TensorFlow/PyTorch/MXNet and its training and deployment details; Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, etc; Familiar with big data related frameworks and applications, those who are familiar with MR or Spark are preferred

Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale; Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
Requirements: 6+ years industry experience and an advanced degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Experienced in team management and people management; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset

Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed; Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale; Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
Requirements: 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset; Fluency in core set of Data Science, and SQL/Hive, R/Python, and ETL