Data Scientist

Job Overview

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

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