Job Description

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


 

More Details
Employment Type: Full Time
Location: [REMOTE]
Experience Required: Entry Level
Date Published: 09 Jan 2020
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