Data Scientist Job Description : Qualifications for Data Scientist : Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (Python, R, SLQ, etc.) to manipulate data and draw insights from large data sets for AML.
Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
and their real-world advantages / drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.
and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques.
Knowledge and experience in statistical and data mining techniques : GLM / Regression (Generalized Linear Models in Python), Random Forest, Boosting, Trees, Text Mining, SNA (Social Network Analysis), etc.
Experience Data Analysis (analyze data quality, what data is missing and how it can be obtained from internal or external data) in AML world.
Experience querying databases and using statistical computer languages : Python, SLQ, etc. Experience using API / MS, web services : S3, Spark, Redshift, etc.
Experience creating and using advanced machine learning algorithms and statistics : Regression, Simulation, Scenario Analysis, Modeling, Clustering, Decision Trees, Neural Networks, etc.
Experience analyzing data from 3rd party providers : Factiva, Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience with distributed data / computing tools : Hadoop, Hive, Spark, MySQL, Cloud, Dockers, Kubernetes, Github, etc.