Advanced degree in Machine Learning, Applied Math, Computer Science, Economics, Statistics, or related field
5+ years of recent experience building predictive models using SAS EG and SAS EM
Proficient in SAS Enterprise Miner, Enterprise Guide, and Base SAS
Experience with Python and R is a plus
Strong understanding of advanced statistical concepts
Familiarity with SQL Server, Google Cloud Platform, and Hadoop
Responsibilities
Retrain predictive models with new data sources and techniques
Handle multi-terabyte datasets and billions of data rows
Conduct rigorous model evaluations and design hypothesis tests
Oversee test execution and evaluate results
Benefits
Opportunity to work with a dedicated Analytical Science team
Focus on enhancing predictive models with cutting-edge techniques
Dynamic work environment with large data sets
Potential for collaborative development with advanced statistical methods
Full Job Description
Title: Data Scientist with SAS Enterprise Miner 3- 5 years experience Location: Jericho, NY - source local first; ok to source national as long as the candidate is willing to relocate at their own expense Duration: 9+ months Visa Type: H1, US Citizen, GC Interview: 1 or 2 rounds of phone followed by onsite. May accept video web conference for out of state candidates Travel: no Rate: open - market rates
Description:
Analytical Science team is looking for strong Data Scientists who will be primarily responsible for retraining various predictive models using new data source and techniques with the goal to outperformance the existing models.
Responsibilities:
Retrain existing predictive models using new data source and possibly new advanced techniques
Work comfortably with multi-terabyte and billion+ rows of data
Perform rigorous model evaluation, design hypothesis tests, oversee test execution and result evaluation
Required skills/experience:
Advanced degree in Machine Learning, Applied Math, Computer Science, Economics, Statistics or a related quantitative field
At least 5 years recent experience (within past 3 years) building predictive models using SAS EG and SAS EM
Proficiency in SAS Enterprise Miner/ Enterprise Guide/ Base SAS is critical
Proficiency in Python and R in addition to SAS is a plus
Solid understanding of advanced statistical concepts, especially related to modelling is a must
Experience working with SQL Server, Google Cloud Platform/Google Big Query and Hadoop ecosystem
Preference will be given to candidates with:
Practical experience in Neural Network, Random Forest, SVM and any other boosting techniques
Background in collaborative filtering, data mining, machine learning, optimization or statistical theory
Please share the following candidate details with each resume submission:
How many years SAS experience in past 3 years
How many years SAS Enterprise Miner experience in past 3 years
How many machine learning models built within past 3 years
