The Data Scientist role is expected to develop multivariate statistical models and machine learning algorithms to solve client business problems. The 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

• Work with senior Data Science personnel to develop new methods for statistical analysis and visualization

Qualifications:

• 0-3 years' work experience: recent graduates are encouraged to apply

• 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

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