The Senior Data Scientist role is expected to develop multivariate statistical models and machine learning algorithms to solve client business problems. The Senior Data Scientist will have a number of responsibilities, including:
Interface with various database platforms to pull data and link them logically; requires knowledge of how to deal with the inherent structure of the data
Data manipulation including auditing, reporting, and preparing data for statistical analysis, including large databases and datasets
Use R and Python to perform standard statistical analysis, profiling, reporting and model implementation
Develop and interpret multivariate statistical models, such as linear or logistic regression, survival analysis and other parametric or non-parametric models that predict various business metrics
Apply data science methods principles to test-and-control study design, implementation, and analysis
Interpret statistical findings in the context of clients’ businesses, and create presentations to visualize analytical results for non-technical client audiences
Provide high level strategic insight and direction for all projects
Interact with clients to establish requirements, organize meetings, and deliver presentations
Qualifications:
3-5 years' work experience
Strong understanding of various statistical methods, such as linear and logistic regression, time series, design of experiments, etc. (Experience with survival analysis (i.e. censored data) is preferred)
Data mining and statistical programming experience with R, SQL, and Python
Experience working with large datasets and complex relational data models
Effective oral and written communication skills
Ability and willingness to multitask on different projects and deadlines
Masters or PhD in Statistics, Applied Math, Econometrics or closely related field
Experience in healthcare a plus
Position Type: Full time salaried
Reports to: SVP, Data Science
Location: Remote within the United States of America; New York City metro area preferred
Subordinates: 0
