——Be familiar with the evolution of big data algorithms and their evolutionary trends, and have the ability to apply algorithms in typical business scenarios;

——Have excellent abstract modeling ability and logical thinking ability, and can independently transform real-life problems into mathematical models;

——Have good communication skills and promotion ability, be able to correctly understand business needs, and be able to choose appropriate algorithm solutions;

mark

——Familiar with data structures and algorithms, familiar with probability theory, mathematical statistics, linear algebra, stochastic processes, optimization theory and other related basic knowledge;

——Familiar with basic algorithms such as halving, doubling, search, divide and conquer, greedy, violence, construction, etc.;

——Familiar with common machine learning and deep learning models, principles and application scenarios;

——Master big data life cycle management methods;

——Familiar with the basic knowledge of big data platforms and the corresponding big data algorithm operating environment and its parallel algorithm framework;

——Understand one or more mainstream deep learning frameworks, such as TensorFlow, PyTorch, MXNet, Caffe, Theano, etc., and have the ability to design algorithms and optimize algorithms according to actual application scenarios;

——Familiar with simulation tools such as MATLAB and the use of data analysis tools such as SAS and SPSS;

——Familiar with Hadoop ecological components, such as Hive, HDFS, HBase, Spark, Storm, Flume, Kafka, etc.;

——Familiar with relational databases such as Oracle, MySQL, SQL Server and corresponding database middleware, and familiar with the use of standard SQL language;

——Familiar with programming languages ​​​​such as Java, C, Scala, Python, R, etc., and have solid and reliable programming skills and good coding habits;

——Familiar with common big data computing frameworks such as Hadoop, Spark, Storm, and Flink;

——Have considerable experience in big data algorithm analysis and research and development;

——Have considerable experience in big data algorithm optimization.

summary